{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5008b803",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import itertools\n",
    "import copy\n",
    "from tqdm import tqdm\n",
    "\n",
    "import torch\n",
    "from torch.utils.data import DataLoader\n",
    "import torch.nn.functional as F\n",
    "import torchvision\n",
    "from torchvision import transforms\n",
    "\n",
    "# 防止内核挂掉\n",
    "import os\n",
    "os.environ[\"KMP_DUPLICATE_LIB_OK\"]=\"TRUE\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d266a80",
   "metadata": {},
   "source": [
    "# Angular Spectrum Propagation (phase only)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "351f8955",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using Device:  cuda\n"
     ]
    }
   ],
   "source": [
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "print('Using Device: ',device)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3966ea17",
   "metadata": {},
   "source": [
    "### ***Loading and Viewing Dataset***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "414a3ef3",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_number [100/300]\n",
      "classes of the first batch: [0 1 2 3 4 5 6 7 8 9], number of classes: 10\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_number [200/300]\n",
      "classes of the first batch: [0 1 2 3 4 5 6 7 8 9], number of classes: 10\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch_number [300/300]\n",
      "classes of the first batch: [0 1 2 3 4 5 6 7 8 9], number of classes: 10\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BATCH_SIZE = 200\n",
    "IMG_SIZE = 32\n",
    "N_pixels = 64\n",
    "PADDING = (N_pixels - IMG_SIZE) // 2  # 避免边缘信息丢失\n",
    "\n",
    "# 数据预处理并加载\n",
    "transform = transforms.Compose([transforms.ToTensor(),\n",
    "                                transforms.Resize((IMG_SIZE, IMG_SIZE)),\n",
    "                                transforms.Pad([PADDING, PADDING], fill=(0), padding_mode='constant'),\n",
    "#                                 transforms.Normalize((0.1307,), (0.3081,))\n",
    "                               ]\n",
    "                               )\n",
    "train_dataset = torchvision.datasets.MNIST(\"./data\", train=True, transform=transform, download=True)\n",
    "val_dataset = torchvision.datasets.MNIST(\"./data\", train=False, transform=transform, download=True)\n",
    "train_dataloader = DataLoader(dataset=train_dataset, batch_size=BATCH_SIZE, shuffle=True)\n",
    "val_dataloader = DataLoader(dataset=val_dataset, batch_size=BATCH_SIZE, shuffle=False)\n",
    "\n",
    "# 定义一个绘图函数\n",
    "def image_plot(image, label):\n",
    "    cmap='RdBu'\n",
    "    fig, ax = plt.subplots()\n",
    "    ax.imshow(np.round(image.cpu().numpy(), 5), cmap=cmap) # 显示图片每个像素点的振幅\n",
    "    ax.axis('off')\n",
    "    ax.set_title(label.cpu().numpy())\n",
    "#     fig.colorbar(plt.cm.ScalarMappable(cmap=cmap))\n",
    "    plt.show()\n",
    "\n",
    "for i, (images, labels) in enumerate(train_dataloader):\n",
    "    images = images.to(device)\n",
    "    images_E = torch.sqrt(torch.squeeze(images))\n",
    "    labels = labels.to(device)\n",
    "\n",
    "    '''\n",
    "        每一个周期，共300个批次（i=0~299），一共60000个数据；\n",
    "        train_dataloader包含300个批次，包括整个训练集；\n",
    "        每一批次一共200张图片，对应200个标签, len(images[0])=1；\n",
    "        images包含一个批次的200张图片（image[0].shape=torch.Size([1,28,28])），labels包含一个批次的200个标签，标签范围为0~9\n",
    "    '''\n",
    "\n",
    "    #每100个批次绘制第一张图片（含shuffle导致每次运行结果不一样）\n",
    "    if (i + 1) % 100 == 0:\n",
    "        classes = torch.unique(labels).cpu().numpy()\n",
    "        classes_num = len(classes)\n",
    "        print('batch_number [{}/{}]'.format(i + 1, len(train_dataloader)))\n",
    "        print('classes of the first batch: {}, number of classes: {}'.format(classes, classes_num))#  第一个batch的总类\n",
    "#         image_plot(images_phase[0], labels[0])\n",
    "        image_plot(images_E[0], labels[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "563cd417",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([200, 64, 64])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images_E.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97f9b3c7",
   "metadata": {},
   "source": [
    "### ***Diffractive Layer***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "0bcfe12c",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Diffractive_Layer(torch.nn.Module):\n",
    "    # 模型初始化（构造实例），默认实参波长为532e-9，网格总数50，网格大小20e-6，z方向传播0.002。\n",
    "    def __init__(self, λ = 532e-9, N_pixels = 64, pixel_size = 20e-6, distance = torch.tensor([0.02])):\n",
    "        super(Diffractive_Layer, self).__init__() # 初始化父类\n",
    "        \n",
    "        # 以1/d为单位频率，得到一系列频率分量[0, 1, 2, ···, N_pixels/2-1,-N_pixels/2, ···, -1]/(N_pixels*d)。\n",
    "        fx = np.fft.fftshift(np.fft.fftfreq(N_pixels, d = pixel_size))\n",
    "        fy = np.fft.fftshift(np.fft.fftfreq(N_pixels, d = pixel_size))\n",
    "        fxx, fyy = np.meshgrid(fx, fy) # 拉网格，每个网格坐标点为空间频率各分量。\n",
    "\n",
    "        argument = (2 * np.pi)**2 * ((1. / λ) ** 2 - fxx ** 2 - fyy ** 2)\n",
    "\n",
    "        # 计算传播场或倏逝场的模式kz，传播场kz为实数，倏逝场kz为复数\n",
    "        tmp = np.sqrt(np.abs(argument))\n",
    "        self.distance = distance.to(device)\n",
    "        self.kz = torch.tensor(np.where(argument >= 0, tmp, 1j*tmp)).to(device)\n",
    "\n",
    "    def forward(self, E):\n",
    "        # 定义单个衍射层内的前向传播\n",
    "        fft_c = torch.fft.fft2(E) # 对电场E进行二维傅里叶变换\n",
    "        c = torch.fft.fftshift(fft_c) # 将零频移至张量中心\n",
    "        phase = torch.exp(1j * self.kz * self.distance).to(device)\n",
    "        angular_spectrum = torch.fft.ifft2(torch.fft.ifftshift(c * phase)) # 卷积后逆变换得到响应的角谱\n",
    "        return angular_spectrum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "dd1e4ca2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([200, 64, 64])"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 看看一个样本经过衍射层后变成啥样\n",
    "model = Diffractive_Layer().to(device)\n",
    "out = model(images_E)\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2)\n",
    "ax1.imshow(images[0].squeeze().cpu())\n",
    "ax2.imshow(torch.abs(out[0]).cpu())\n",
    "out.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "de95f338",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(208.9356, device='cuda:0')"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 原图像总光强\n",
    "images[0].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "2c8b23bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(208.9356, device='cuda:0', dtype=torch.float64)"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 输出图像总光强\n",
    "torch.pow(abs(out[0]), 2).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "971a347f",
   "metadata": {},
   "source": [
    "### ***Propagation Layer***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "f9cdc0fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Propagation_Layer(torch.nn.Module):\n",
    "    # 与上面衍射层大致相同，区别在于传输层是最后一个衍射层到探测器层间的部分，中间可以自定义加额外的器件。\n",
    "    def __init__(self, λ = 532e-9, N_pixels = 64, pixel_size = 20e-6, distance = torch.tensor([0.001])):\n",
    "        super(Propagation_Layer, self).__init__() # 初始化父类\n",
    "        \n",
    "        # 以1/d为单位频率，得到一系列频率分量[0, 1, 2, ···, N_pixels/2-1,-N_pixels/2, ···, -1]/(N_pixels*d)。\n",
    "        fx = np.fft.fftshift(np.fft.fftfreq(N_pixels, d = pixel_size))\n",
    "        fy = np.fft.fftshift(np.fft.fftfreq(N_pixels, d = pixel_size))\n",
    "        fxx, fyy = np.meshgrid(fx, fy) # 拉网格，每个网格坐标点为空间频率各分量。\n",
    "\n",
    "        argument = (2 * np.pi)**2 * ((1. / λ) ** 2 - fxx ** 2 - fyy ** 2)\n",
    "\n",
    "        # 计算传播场或倏逝场的模式kz，传播场kz为实数，倏逝场kz为复数\n",
    "        tmp = np.sqrt(np.abs(argument))\n",
    "        self.distance = distance.to(device)\n",
    "        self.kz = torch.tensor(np.where(argument >= 0, tmp, 1j*tmp)).to(device)\n",
    "\n",
    "    def forward(self, E):\n",
    "        # 定义单个衍射层内的前向传播\n",
    "        fft_c = torch.fft.fft2(E) # 对电场E进行二维傅里叶变换\n",
    "        c = torch.fft.fftshift(fft_c) # 将零频移至张量中心\n",
    "        phase = torch.exp(1j * self.kz * self.distance).to(device)\n",
    "        angular_spectrum = torch.fft.ifft2(torch.fft.ifftshift(c * phase)) # 卷积后逆变换得到响应的角谱\n",
    "        return angular_spectrum"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83e430c8",
   "metadata": {},
   "source": [
    "### ***Detectors Layer***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "606fd717",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1b88d09de80>"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaEAAAGfCAYAAAD22G0fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAc2UlEQVR4nO3df2yV5f3/8dfBliPF9viTc9pYserxB78EqatUZ7spNcwZCYlTQYdZsoCA0rEFrSSjmnmKmDV1qXaBGQZxrP8ok2Uq7aKUmYZZ0cZaDGKo2ilnna6ec0R2KnB9//DD/eVYhjul9d1zeD6SO6HXfZ/T64JDn7nac059zjknAAAMjLGeAADg1EWEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZnJG6o6feuopPf7449q/f78mT56shoYGffe73/3G2x05ckQff/yx8vPz5fP5Rmp6AIAR4pxTIpFQUVGRxoz5hr2OGwHNzc0uNzfXrV+/3u3evdstX77cjR8/3n3wwQffeNve3l4niYODg4Mjw4/e3t5v/Jrvc27438C0rKxMV111lZqamryxK664QnPnzlVdXd0JbxuLxXTmmWfqOv1AOcod7qkBAEbYIX2pV/WCPvvsMwUCgRNeO+zfjhsYGNCuXbv04IMPpoxXVVWpvb190PXJZFLJZNL7OJFI/N/EcpXjI0IAkHH+b2vzv/xIZdifmPDJJ5/o8OHDCgaDKePBYFDRaHTQ9XV1dQoEAt5RXFw83FMCAIxSI/bsuK8X0Dl33CrW1NQoFot5R29v70hNCQAwygz7t+POPfdcnXbaaYN2PX19fYN2R5Lk9/vl9/uHexoAgAww7DuhsWPHaubMmWptbU0Zb21tVXl5+XB/OgBABhuR1wmtWLFCd999t0pLSzVr1iytW7dOH374oRYvXjwSnw4AkKFGJEK33367Pv30Uz3yyCPav3+/pkyZohdeeEETJ04ciU8HAMhQI/I6oZMRj8cVCARUqVt5ijYAZKBD7ktt1/OKxWIqKCg44bW8dxwAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgBkiBAAwQ4QAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmcqwnMNpt+7hzxO77pqLpI3bf+HaN5ONE4rGSTfiakoqdEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgJmcdG+wY8cOPf7449q1a5f279+vLVu2aO7cud5555wefvhhrVu3Tv39/SorK9OTTz6pyZMnD+e8vzU3FU23ngIyAI8T/K94rKRKeyd04MABXXnllWpsbDzu+bVr16q+vl6NjY3q6OhQKBTS7NmzlUgkTnqyAIDskvZOaM6cOZozZ85xzznn1NDQoFWrVmnevHmSpI0bNyoYDGrz5s1atGjRoNskk0klk0nv43g8nu6UAAAZalh/JtTT06NoNKqqqipvzO/3q6KiQu3t7ce9TV1dnQKBgHcUFxcP55QAAKPYsEYoGo1KkoLBYMp4MBj0zn1dTU2NYrGYd/T29g7nlAAAo1ja3477X/h8vpSPnXODxo7y+/3y+/0jMQ0AwCg3rDuhUCgkSYN2PX19fYN2RwAADGuESkpKFAqF1Nra6o0NDAyora1N5eXlw/mpAABZIO1vx33++ed67733vI97enrU2dmps88+WxdccIGqq6sViUQUDocVDocViUSUl5en+fPnD+vEAQCZL+0Ivf766/re977nfbxixQpJ0sKFC/X73/9eK1eu1MGDB7VkyRLvxaotLS3Kz88fvlkDALKCzznnrCdxrHg8rkAgoErdqhxfrvV0AABpOuS+1HY9r1gspoKCghNey3vHAQDMECEAgBkiBAAwQ4QAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgBkiBAAwQ4QAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmEkrQnV1dbr66quVn5+vCRMmaO7cudqzZ0/KNc451dbWqqioSOPGjVNlZaW6u7uHddIAgOyQVoTa2tq0dOlS7dy5U62trTp06JCqqqp04MAB75q1a9eqvr5ejY2N6ujoUCgU0uzZs5VIJIZ98gCAzOZzzrmh3vhf//qXJkyYoLa2Nl1//fVyzqmoqEjV1dV64IEHJEnJZFLBYFCPPfaYFi1a9I33GY/HFQgEVKlblePLHerUAABGDrkvtV3PKxaLqaCg4ITXntTPhGKxmCTp7LPPliT19PQoGo2qqqrKu8bv96uiokLt7e3HvY9kMql4PJ5yAABODUOOkHNOK1as0HXXXacpU6ZIkqLRqCQpGAymXBsMBr1zX1dXV6dAIOAdxcXFQ50SACDDDDlCy5Yt01tvvaU//vGPg875fL6Uj51zg8aOqqmpUSwW847e3t6hTgkAkGFyhnKj++67T1u3btWOHTt0/vnne+OhUEjSVzuiwsJCb7yvr2/Q7ugov98vv98/lGkAADJcWjsh55yWLVum5557Ti+//LJKSkpSzpeUlCgUCqm1tdUbGxgYUFtbm8rLy4dnxgCArJHWTmjp0qXavHmznn/+eeXn53s/5wkEAho3bpx8Pp+qq6sViUQUDocVDocViUSUl5en+fPnj8gCAACZK60INTU1SZIqKytTxjds2KB77rlHkrRy5UodPHhQS5YsUX9/v8rKytTS0qL8/PxhmTAAIHuc1OuERgKvEwKAzPatvU4IAICTQYQAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgBkiBAAwQ4QAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDM5KRzcVNTk5qamvT+++9LkiZPnqxf/vKXmjNnjiTJOaeHH35Y69atU39/v8rKyvTkk09q8uTJwz7xb8u2jztH7L5vKpo+Yvedqfj7/vbxd/7t4u87VVo7ofPPP19r1qzR66+/rtdff13f//73deutt6q7u1uStHbtWtXX16uxsVEdHR0KhUKaPXu2EonEiEweAJDZ0orQLbfcoh/84Ae69NJLdemll+rRRx/VGWecoZ07d8o5p4aGBq1atUrz5s3TlClTtHHjRn3xxRfavHnzSM0fAJDBhvwzocOHD6u5uVkHDhzQrFmz1NPTo2g0qqqqKu8av9+viooKtbe3/9f7SSaTisfjKQcA4NSQdoS6urp0xhlnyO/3a/HixdqyZYsmTZqkaDQqSQoGgynXB4NB79zx1NXVKRAIeEdxcXG6UwIAZKi0I3TZZZeps7NTO3fu1L333quFCxdq9+7d3nmfz5dyvXNu0NixampqFIvFvKO3tzfdKQEAMlRaz46TpLFjx+qSSy6RJJWWlqqjo0NPPPGEHnjgAUlSNBpVYWGhd31fX9+g3dGx/H6//H5/utMAAGSBk36dkHNOyWRSJSUlCoVCam1t9c4NDAyora1N5eXlJ/tpAABZKK2d0EMPPaQ5c+aouLhYiURCzc3N2r59u1566SX5fD5VV1crEokoHA4rHA4rEokoLy9P8+fPH6n5AwAyWFoR+uc//6m7775b+/fvVyAQ0LRp0/TSSy9p9uzZkqSVK1fq4MGDWrJkifdi1ZaWFuXn54/I5AEAmS2tCD399NMnPO/z+VRbW6va2tqTmRMA4BTBe8cBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgBkiBAAwQ4QAAGaIEADAjM8556wncax4PK5AIKBK3aocX671dAAAaTrkvtR2Pa9YLKaCgoITXstOCABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgBkiBAAwQ4QAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYOakIlRXVyefz6fq6mpvzDmn2tpaFRUVady4caqsrFR3d/fJzhMAkIWGHKGOjg6tW7dO06ZNSxlfu3at6uvr1djYqI6ODoVCIc2ePVuJROKkJwsAyC5DitDnn3+uBQsWaP369TrrrLO8ceecGhoatGrVKs2bN09TpkzRxo0b9cUXX2jz5s3DNmkAQHYYUoSWLl2qm2++WTfeeGPKeE9Pj6LRqKqqqrwxv9+viooKtbe3H/e+ksmk4vF4ygEAODXkpHuD5uZmvfHGG+ro6Bh0LhqNSpKCwWDKeDAY1AcffHDc+6urq9PDDz+c7jQAAFkgrZ1Qb2+vli9frmeeeUann376f73O5/OlfOycGzR2VE1NjWKxmHf09vamMyUAQAZLaye0a9cu9fX1aebMmd7Y4cOHtWPHDjU2NmrPnj2SvtoRFRYWetf09fUN2h0d5ff75ff7hzJ3AECGS2sndMMNN6irq0udnZ3eUVpaqgULFqizs1MXXXSRQqGQWltbvdsMDAyora1N5eXlwz55AEBmS2snlJ+frylTpqSMjR8/Xuecc443Xl1drUgkonA4rHA4rEgkory8PM2fP3/4Zg0AyAppPzHhm6xcuVIHDx7UkiVL1N/fr7KyMrW0tCg/P3+4PxUAIMP5nHPOehLHisfjCgQCqtStyvHlWk8HAJCmQ+5LbdfzisViKigoOOG1vHccAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgBkiBAAwQ4QAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgBkiBAAwQ4QAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADCTVoRqa2vl8/lSjlAo5J13zqm2tlZFRUUaN26cKisr1d3dPeyTBgBkh7R3QpMnT9b+/fu9o6uryzu3du1a1dfXq7GxUR0dHQqFQpo9e7YSicSwThoAkB1y0r5BTk7K7uco55waGhq0atUqzZs3T5K0ceNGBYNBbd68WYsWLTru/SWTSSWTSe/jeDye7pQAABkq7Z3Q3r17VVRUpJKSEt1xxx3at2+fJKmnp0fRaFRVVVXetX6/XxUVFWpvb/+v91dXV6dAIOAdxcXFQ1gGACATpRWhsrIybdq0Sdu2bdP69esVjUZVXl6uTz/9VNFoVJIUDAZTbhMMBr1zx1NTU6NYLOYdvb29Q1gGACATpfXtuDlz5nh/njp1qmbNmqWLL75YGzdu1DXXXCNJ8vl8Kbdxzg0aO5bf75ff709nGgCALHFST9EeP368pk6dqr1793o/J/r6rqevr2/Q7ggAAOkkI5RMJvXOO++osLBQJSUlCoVCam1t9c4PDAyora1N5eXlJz1RAED2Sevbcb/4xS90yy236IILLlBfX59+9atfKR6Pa+HChfL5fKqurlYkElE4HFY4HFYkElFeXp7mz58/UvMHAGSwtCL0j3/8Q3feeac++eQTnXfeebrmmmu0c+dOTZw4UZK0cuVKHTx4UEuWLFF/f7/KysrU0tKi/Pz8EZk8ACCz+ZxzznoSx4rH4woEAqrUrcrx5VpPBwCQpkPuS23X84rFYiooKDjhtbx3HADADBECAJghQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABgJq130T4Vbfu4c8Tu+6ai6SN23/h2jeTjROKxkk34mpKKnRAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgBkiBAAwQ4QAAGaIEADADBECAJghQgAAM0QIAGCGCAEAzBAhAICZHOsJjHY3FU23ngIyAI8T/K94rKRiJwQAMEOEAABmiBAAwAwRAgCYIUIAADNECABghggBAMwQIQCAGSIEADBDhAAAZtKO0EcffaS77rpL55xzjvLy8jR9+nTt2rXLO++cU21trYqKijRu3DhVVlaqu7t7WCcNAMgOaUWov79f1157rXJzc/Xiiy9q9+7d+vWvf60zzzzTu2bt2rWqr69XY2OjOjo6FAqFNHv2bCUSieGeOwAgw6X1BqaPPfaYiouLtWHDBm/swgsv9P7snFNDQ4NWrVqlefPmSZI2btyoYDCozZs3a9GiRcMzawBAVkhrJ7R161aVlpbqtttu04QJEzRjxgytX7/eO9/T06NoNKqqqipvzO/3q6KiQu3t7ce9z2QyqXg8nnIAAE4NaUVo3759ampqUjgc1rZt27R48WLdf//92rRpkyQpGo1KkoLBYMrtgsGgd+7r6urqFAgEvKO4uHgo6wAAZKC0InTkyBFdddVVikQimjFjhhYtWqSf/vSnampqSrnO5/OlfOycGzR2VE1NjWKxmHf09vamuQQAQKZKK0KFhYWaNGlSytgVV1yhDz/8UJIUCoUkadCup6+vb9Du6Ci/36+CgoKUAwBwakgrQtdee6327NmTMvbuu+9q4sSJkqSSkhKFQiG1trZ65wcGBtTW1qby8vJhmC4AIJuk9ey4n/3sZyovL1ckEtGPfvQjvfbaa1q3bp3WrVsn6atvw1VXVysSiSgcDiscDisSiSgvL0/z588fkQUAADJXWhG6+uqrtWXLFtXU1OiRRx5RSUmJGhoatGDBAu+alStX6uDBg1qyZIn6+/tVVlamlpYW5efnD/vkAQCZzeecc9aTOFY8HlcgEFClblWOL9d6OgCANB1yX2q7nlcsFvvGn/Pz3nEAADNECABghggBAMwQIQCAGSIEADBDhAAAZogQAMAMEQIAmCFCAAAzRAgAYIYIAQDMECEAgJm03kX723D0/VQP6UtpVL21KgDgf3FIX0r6/1/PT2TURSiRSEiSXtULxjMBAJyMRCKhQCBwwmtG3a9yOHLkiD7++GPl5+crkUiouLhYvb29Wf1rv+PxOOvMIqfCOk+FNUqsc6icc0okEioqKtKYMSf+qc+o2wmNGTNG559/vqSvflOrJBUUFGT1A+Ao1pldToV1ngprlFjnUHzTDugonpgAADBDhAAAZkZ1hPx+v1avXi2/3289lRHFOrPLqbDOU2GNEuv8Noy6JyYAAE4do3onBADIbkQIAGCGCAEAzBAhAIAZIgQAMDOqI/TUU0+ppKREp59+umbOnKm//e1v1lM6KTt27NAtt9yioqIi+Xw+/elPf0o575xTbW2tioqKNG7cOFVWVqq7u9tmskNUV1enq6++Wvn5+ZowYYLmzp2rPXv2pFyTDetsamrStGnTvFeYz5o1Sy+++KJ3PhvW+HV1dXXy+Xyqrq72xrJhnbW1tfL5fClHKBTyzmfDGo/66KOPdNddd+mcc85RXl6epk+frl27dnnnTdbqRqnm5maXm5vr1q9f73bv3u2WL1/uxo8f7z744APrqQ3ZCy+84FatWuWeffZZJ8lt2bIl5fyaNWtcfn6+e/bZZ11XV5e7/fbbXWFhoYvH4zYTHoKbbrrJbdiwwb399tuus7PT3Xzzze6CCy5wn3/+uXdNNqxz69at7i9/+Yvbs2eP27Nnj3vooYdcbm6ue/vtt51z2bHGY7322mvuwgsvdNOmTXPLly/3xrNhnatXr3aTJ092+/fv946+vj7vfDas0Tnn/v3vf7uJEye6e+65x/397393PT097q9//at77733vGss1jpqI/Sd73zHLV68OGXs8ssvdw8++KDRjIbX1yN05MgRFwqF3Jo1a7yx//znPy4QCLjf/va3BjMcHn19fU6Sa2trc85l7zqdc+6ss85yv/vd77JujYlEwoXDYdfa2uoqKiq8CGXLOlevXu2uvPLK457LljU659wDDzzgrrvuuv963mqto/LbcQMDA9q1a5eqqqpSxquqqtTe3m40q5HV09OjaDSasma/36+KioqMXnMsFpMknX322ZKyc52HDx9Wc3OzDhw4oFmzZmXdGpcuXaqbb75ZN954Y8p4Nq1z7969KioqUklJie644w7t27dPUnatcevWrSotLdVtt92mCRMmaMaMGVq/fr133mqtozJCn3zyiQ4fPqxgMJgyHgwGFY1GjWY1so6uK5vW7JzTihUrdN1112nKlCmSsmudXV1dOuOMM+T3+7V48WJt2bJFkyZNyqo1Njc364033lBdXd2gc9myzrKyMm3atEnbtm3T+vXrFY1GVV5erk8//TRr1ihJ+/btU1NTk8LhsLZt26bFixfr/vvv16ZNmyTZ/XuOul/lcKyjv8rhKOfcoLFsk01rXrZsmd566y29+uqrg85lwzovu+wydXZ26rPPPtOzzz6rhQsXqq2tzTuf6Wvs7e3V8uXL1dLSotNPP/2/Xpfp65wzZ47356lTp2rWrFm6+OKLtXHjRl1zzTWSMn+N0le/q620tFSRSESSNGPGDHV3d6upqUk//vGPveu+7bWOyp3Queeeq9NOO21Qffv6+gZVOlscfTZOtqz5vvvu09atW/XKK694vx9Kyq51jh07VpdccolKS0tVV1enK6+8Uk888UTWrHHXrl3q6+vTzJkzlZOTo5ycHLW1tek3v/mNcnJyvLVk+jq/bvz48Zo6dar27t2bNf+WklRYWKhJkyaljF1xxRX68MMPJdn93xyVERo7dqxmzpyp1tbWlPHW1laVl5cbzWpklZSUKBQKpax5YGBAbW1tGbVm55yWLVum5557Ti+//LJKSkpSzmfLOo/HOadkMpk1a7zhhhvU1dWlzs5O7ygtLdWCBQvU2dmpiy66KCvW+XXJZFLvvPOOCgsLs+bfUpKuvfbaQS+XePfddzVx4kRJhv83R+wpDyfp6FO0n376abd7925XXV3txo8f795//33rqQ1ZIpFwb775pnvzzTedJFdfX+/efPNN72nna9ascYFAwD333HOuq6vL3XnnnRn3VNB7773XBQIBt3379pSnvH7xxRfeNdmwzpqaGrdjxw7X09Pj3nrrLffQQw+5MWPGuJaWFudcdqzxeI59dpxz2bHOn//852779u1u3759bufOne6HP/yhy8/P977WZMManfvqafY5OTnu0UcfdXv37nV/+MMfXF5ennvmmWe8ayzWOmoj5JxzTz75pJs4caIbO3asu+qqq7yn+WaqV155xUkadCxcuNA599VTJFevXu1CoZDz+/3u+uuvd11dXbaTTtPx1ifJbdiwwbsmG9b5k5/8xHtsnnfeee6GG27wAuRcdqzxeL4eoWxY59HXwuTm5rqioiI3b948193d7Z3PhjUe9ec//9lNmTLF+f1+d/nll7t169alnLdYK79PCABgZlT+TAgAcGogQgAAM0QIAGCGCAEAzBAhAIAZIgQAMEOEAABmiBAAwAwRAgCYIUIAADNECABg5v8Bd0bjPJqIwL8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 生成一行探测器。指定探测器个数N_det，在x方向上生成齐高等间距det_step的一组探测器\n",
    "# left，right，up和down分别是该行矩形探测器的四个顶点坐标。\n",
    "def generate_det_row(det_size, start_pos_x, start_pos_y, det_step, N_det):\n",
    "    p = []\n",
    "    for i in range(N_det):\n",
    "        left = start_pos_x+i*(int(det_step)+det_size)\n",
    "        right = left + det_size\n",
    "        up = start_pos_y\n",
    "        down = start_pos_y + det_size\n",
    "        p.append((up, down, left, right))\n",
    "    return p\n",
    "\n",
    "# 生成三行探测器。利用generate_det_row函数生成三行等间距矩形探测器。\n",
    "def set_det_pos(det_size = 20, start_pos_x = 46, start_pos_y = 46, \n",
    "                N_det_sets = [3, 4, 3], det_steps_x = [5, 3, 5], det_steps_y = 5):\n",
    "    p = []\n",
    "    for i in range(len(N_det_sets)):\n",
    "        p.append(generate_det_row(det_size, start_pos_x, start_pos_y+i*(det_steps_y+1)\n",
    "                                  *det_size, det_steps_x[i]*det_size, N_det_sets[i]))\n",
    "    return list(itertools.chain.from_iterable(p))\n",
    "\n",
    "# def set_det_pos(det_size=20, start_pos_x = 46, start_pos_y = 46):\n",
    "#     p = []\n",
    "#     p.append(generate_det_row(det_size, start_pos_x, start_pos_y, 2*det_size, 3))\n",
    "#     p.append(generate_det_row(det_size, start_pos_x, start_pos_y+3*det_size, 1*det_size, 4))\n",
    "#     p.append(generate_det_row(det_size, start_pos_x, start_pos_y+6*det_size, 2*det_size, 3))\n",
    "#     return list(itertools.chain.from_iterable(p))\n",
    "\n",
    "# 获取最终衍射光强在各个探测器上的分布情况\n",
    "def detector_region(Int):\n",
    "    detectors_list = []\n",
    "    full_Int = Int.sum(dim=(1,2)) # 统计总光强\n",
    "    for det_x0, det_x1, det_y0, det_y1 in detector_pos: # 计算各个探测器区间内的光强占比\n",
    "        detectors_list.append((Int[:, det_x0 : det_x1, det_y0 : det_y1].sum(dim=(1, 2))/full_Int).unsqueeze(-1))        \n",
    "    return torch.cat(detectors_list, dim = 1)\n",
    "\n",
    "# 指定生成的十个探测器的位置。\n",
    "# detector_pos = [\n",
    "#     (46, 66, 46, 66),\n",
    "#     (46, 66, 106, 126),\n",
    "#     (46, 66, 166, 186),\n",
    "#     (106, 126, 46, 66),\n",
    "#     (106, 126, 86, 106),\n",
    "#     (106, 126, 126, 146),\n",
    "#     (106, 126, 166, 186),\n",
    "#     (166, 186, 46, 66),\n",
    "#     (166, 186, 106, 126),\n",
    "#     (166, 186, 166, 186)\n",
    "\n",
    "# 定义探测器模型基本参数\n",
    "det_size = 4\n",
    "det_pad = (N_pixels - 13*det_size)//2\n",
    "detector_pos = set_det_pos(det_size, det_pad, det_pad)\n",
    "\n",
    "# 定义探测器层的图片张量\n",
    "labels_image_tensors=torch.zeros((10,N_pixels,N_pixels), device = device, dtype = torch.double)\n",
    "for ind, pos in enumerate(detector_pos):\n",
    "    pos_l, pos_r, pos_u, pos_d = pos\n",
    "    labels_image_tensors[ind, pos_l:pos_r, pos_u:pos_d] = 1 # 设置探测器区域\n",
    "    labels_image_tensors[ind] = labels_image_tensors[ind]/labels_image_tensors[ind].sum() # 归一化探测器层\n",
    "\n",
    "plt.imshow(labels_image_tensors.cpu().numpy().sum(axis = 0)) # 查看探测器层"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1df71fac",
   "metadata": {},
   "source": [
    "### ***D2NN***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "edd609c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 先做一个模型初始化，将生成的初始随机相位参数与模型分离，以便于后面对其他参数分别训练。\n",
    "# 初始化每层相位板的相位参数（0到1区间均匀分布）,并将其注册为可学习的Parameter。\n",
    "num_layers = 5\n",
    "distance_between_layers = 0.004\n",
    "phase = [torch.nn.Parameter(torch.from_numpy(np.random.random(size=(N_pixels, N_pixels)).\n",
    "                                                          astype('float32')-0.5)) for _ in range(num_layers)]\n",
    "# 初始化层间距，预训练时（先只训练相位）设置梯度requires_grad=False。\n",
    "distance = [torch.nn.Parameter(distance_between_layers*torch.tensor([1])) for _ in range(num_layers+1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "b18f4097",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Parameter containing:\n",
       "tensor([0.0040], requires_grad=True)"
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "distance[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "6d42025c",
   "metadata": {},
   "outputs": [],
   "source": [
    "class DNN(torch.nn.Module):\n",
    "    \"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n",
    "    phase only modulation\n",
    "    \"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n",
    "    def __init__(self, phase = [], num_layers = 5, wl = 532e-9, N_pixels = 64, pixel_size = 20e-6, \n",
    "                 distance = []):\n",
    "\n",
    "        super(DNN, self).__init__()\n",
    "        \n",
    "        # 初始化每层相位板的相位参数（0到1区间均匀分布）,并将其注册为可学习的Parameter。\n",
    "#         self.phase = [torch.nn.Parameter(torch.from_numpy(np.random.random(size=(N_pixels, N_pixels)).\n",
    "#                                                           astype('float32')-0.5)) for _ in range(num_layers)]\n",
    "        # 向网络中添加每层相位板的参数\n",
    "        for i in range(num_layers):\n",
    "            self.register_parameter(\"phase\" + \"_\" + str(i), phase[i])\n",
    "        # 向网络中添加层间距的参数\n",
    "        for i in range(num_layers+1):\n",
    "            self.register_parameter(\"distance\" + \"_\" + str(i), distance[i])\n",
    "        \n",
    "        # 定义中间的衍射层\n",
    "        self.diffractive_layers = torch.nn.ModuleList([Diffractive_Layer(wl, N_pixels, pixel_size, distance[i])\n",
    "                                                       for i in range(num_layers)])\n",
    "        # 定义最后的探测层\n",
    "        self.last_diffractive_layer = Propagation_Layer(wl, N_pixels, pixel_size, distance[-1])\n",
    "        self.sofmax = torch.nn.Softmax(dim=-1)\n",
    "    \n",
    "    # 计算多层衍射前向传播\n",
    "    def forward(self, E):\n",
    "        for index, layer in enumerate(self.diffractive_layers):\n",
    "            temp = layer(E)\n",
    "            constr_phase = 2*np.pi*phase[index]\n",
    "            # 这里相当于加了一层sigmoid非线性激活，将相位控制在0到2pi\n",
    "#             constr_phase = 2*np.pi*torch.sigmoid(self.phase[index])\n",
    "            exp_j_phase = torch.exp(1j*constr_phase) #torch.cos(constr_phase)+1j*torch.sin(constr_phase)\n",
    "            E = temp * exp_j_phase\n",
    "        E = self.last_diffractive_layer(E)\n",
    "        Int = torch.abs(E)**2\n",
    "#         output = self.sofmax(detector_region(Int))\n",
    "        output = detector_region(Int)\n",
    "        return output, Int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "b7d6ff21",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DNN(\n",
      "  (diffractive_layers): ModuleList(\n",
      "    (0): Diffractive_Layer()\n",
      "    (1): Diffractive_Layer()\n",
      "    (2): Diffractive_Layer()\n",
      "    (3): Diffractive_Layer()\n",
      "    (4): Diffractive_Layer()\n",
      "  )\n",
      "  (last_diffractive_layer): Propagation_Layer()\n",
      "  (sofmax): Softmax(dim=-1)\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "model = DNN(phase = phase, distance = distance).to(device)\n",
    "print(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "b2a44609",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "phase_0\n",
      "phase_1\n",
      "phase_2\n",
      "phase_3\n",
      "phase_4\n",
      "distance_0\n",
      "distance_1\n",
      "distance_2\n",
      "distance_3\n",
      "distance_4\n",
      "distance_5\n"
     ]
    }
   ],
   "source": [
    "# 展示可供训练的参数（因为）\n",
    "for index, item in model.named_parameters():\n",
    "    print(index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "231af38e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Params to learn:\n",
      "\t phase_0\n",
      "\t phase_1\n",
      "\t phase_2\n",
      "\t phase_3\n",
      "\t phase_4\n"
     ]
    }
   ],
   "source": [
    "# 先只训练相位，层间距先设定0.005。之后再在0.005这个基础上微调训练层间距。\n",
    "for param in model.parameters():\n",
    "    param.requires_grad = False\n",
    "\n",
    "for name, param in model.named_parameters():\n",
    "    if name.find('phase') != -1:\n",
    "        exec('model.' + name + '.requires_grad_(True)')\n",
    "    \n",
    "print(\"Params to learn:\")\n",
    "params_to_update = []\n",
    "for name, param in model.named_parameters():\n",
    "    if param.requires_grad == True:\n",
    "        params_to_update.append(param)\n",
    "        print(\"\\t\",name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abed7f3b",
   "metadata": {},
   "source": [
    "### ***Training***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "4551157d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义训练函数\n",
    "def train(model, loss_function, optimizer, trainloader, testloader, epochs = 10, device = 'cpu', filename = 'best.pt'):\n",
    "    train_loss_hist = []\n",
    "    test_loss_hist = []\n",
    "    train_acc_hist = []\n",
    "    test_acc_hist = []\n",
    "    best_acc = 0\n",
    "    best_model_wts = copy.deepcopy(model.state_dict())\n",
    "    for epoch in range(epochs):\n",
    "        ep_loss = 0\n",
    "        # 每个epoch开始时启动Batch_Normalization和Dropout。BN层能够用到每一批数据的均值和方差，Dropout随机取一部分网络连接来训练更新参数。\n",
    "        model.train()\n",
    "        correct = 0\n",
    "        total = 0\n",
    "        # 加载进度条\n",
    "        for images, labels in tqdm(trainloader):\n",
    "            \n",
    "            images = images.to(device).squeeze()\n",
    "#             images = torch.sqrt(F.pad(torch.squeeze(images), pad=(PADDING, PADDING, PADDING, PADDING)))\n",
    "            labels = labels.to(device)\n",
    "#             det_labels = F.one_hot(labels, num_classes=10).to(dtype=torch.float64)\n",
    "            det_labels = labels_image_tensors[labels] # 定义各标签的探测器层张量\n",
    "            \n",
    "            optimizer.zero_grad() # 梯度清零\n",
    "            out_label, out_img = model(images) # 得到预测各个探测器上的光强分布以及探测层光强分布\n",
    "            \n",
    "            _, predicted = torch.max(out_label.data, 1) # 找到光强分布占比最大的探测器，并作为预测结果\n",
    "            correct += (predicted == labels).sum().item() # 得到一个batch的预测结果。如果预测值等于标签值，则正确值加一。\n",
    "            total += labels.size(0) # 得到一个batch的标签总数\n",
    "\n",
    "            full_int_img = out_img.sum(axis=(1,2))\n",
    "            loss = loss_function(out_img/full_int_img[:,None,None], det_labels) # 光强分布归一化后送入损失函数（与完美探测结果进行比较）\n",
    "            #loss = loss_function(out_label, det_labels)\n",
    "            \n",
    "            loss.backward() # 反向传播\n",
    "            optimizer.step() # 参数更新\n",
    "            ep_loss += loss.item() # 更新本次epoch的损失\n",
    "        train_loss_hist.append(ep_loss /len(trainloader)) # 计算平均损失\n",
    "        train_acc_hist.append(correct /total) # 计算准确率\n",
    "        #train_acc_hist.append(validate(model, trainloader,device))\n",
    "\n",
    "        #test_acc_hist.append(validate(model, testloader,device))\n",
    "        # if test_acc_hist[-1][0]>best_acc:\n",
    "        #     best_model=copy.deepcopy(model)\n",
    "        \n",
    "        ep_loss = 0\n",
    "        # 不启用Batch Normalization和Dropout。测试过程中要保证BN层的均值和方差不变，且利用到了所有网络连接，即不进行随机舍弃神经元。\n",
    "        model.eval()\n",
    "        correct = 0\n",
    "        total = 0\n",
    "        with torch.no_grad(): # 停止梯度更新\n",
    "            for images, labels in tqdm(testloader):\n",
    "                images = images.to(device).squeeze()\n",
    "#                 images = torch.sqrt(F.pad(torch.squeeze(images), pad=(PADDING, PADDING, PADDING, PADDING)))\n",
    "                labels = labels.to(device)\n",
    "                #det_labels = F.one_hot(labels, num_classes=10).to(dtype=torch.float64)\n",
    "                det_labels = labels_image_tensors[labels]\n",
    "\n",
    "                out_label, out_img = model(images)\n",
    "                _, predicted = torch.max(out_label.data, 1)\n",
    "                correct += (predicted == labels).sum().item()\n",
    "                total += labels.size(0)\n",
    "\n",
    "                full_int_img = out_img.sum(axis=(1,2))\n",
    "                loss = loss_function(out_img/full_int_img[:,None,None], det_labels)\n",
    "                #loss = loss_function(out_label, det_labels)\n",
    "                \n",
    "                #直接计算损失，无反向传播和梯度更新。\n",
    "                ep_loss += loss.item()\n",
    "        test_loss_hist.append(ep_loss / len(testloader))\n",
    "        test_acc_hist.append(correct / total)\n",
    "        # 如果最后一次训练的准确率大于之前最好的准确率，则将最后一次的模型保存为最佳模型。\n",
    "        if test_acc_hist[-1]>best_acc:\n",
    "            best_model_wts = copy.deepcopy(model.state_dict())\n",
    "            state = {\n",
    "              'state_dict': model.state_dict(),#字典里key就是各层的名字，值就是训练好的权重\n",
    "              'best_acc': best_acc,\n",
    "              'optimizer' : optimizer.state_dict(),\n",
    "            }\n",
    "            torch.save(state, filename)\n",
    "\n",
    "        print(f\"Epoch={epoch} train loss={train_loss_hist[epoch]:.4}, test loss={test_loss_hist[epoch]:.4}\")\n",
    "        print(f\"train acc={train_acc_hist[epoch]:.4}, test acc={test_acc_hist[epoch]:.4}\")\n",
    "        print(\"-----------------------\")\n",
    "        \n",
    "    # 训练完后用最好的一次当做模型最终的结果,等着一会测试\n",
    "    model.load_state_dict(best_model_wts)    \n",
    "    return train_loss_hist, train_acc_hist, test_loss_hist, test_acc_hist, model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "5f71b821",
   "metadata": {},
   "outputs": [],
   "source": [
    "def custom_loss(imgs, det_labels):\n",
    "    full_int = imgs.sum(dim=(1,2))\n",
    "    loss = 1 - (imgs*det_labels).sum(dim=(1,2))/full_int\n",
    "    return loss.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "47e0c342",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义衍射模型基本参数\n",
    "wl = 532e-9\n",
    "pixel_size = 10*wl\n",
    "# 定义模型，损失函数和优化器\n",
    "model = DNN(phase = phase, num_layers = 5, wl = wl, pixel_size = pixel_size, distance = distance).to(device)\n",
    "# criterion = custom_loss\n",
    "# criterion = torch.nn.CrossEntropyLoss().to(device)\n",
    "criterion = torch.nn.MSELoss(reduction='sum').to(device)\n",
    "# optimizer = torch.optim.Adam(model.parameters(), lr=0.002)\n",
    "optimizer = torch.optim.Adam(params_to_update, lr=0.002)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "9ce007f2",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 300/300 [00:17<00:00, 16.87it/s]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 21.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch=0 train loss=9.813, test loss=8.881\n",
      "train acc=0.6253, test acc=0.7115\n",
      "-----------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 300/300 [00:17<00:00, 17.09it/s]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 21.41it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch=1 train loss=8.784, test loss=8.628\n",
      "train acc=0.7108, test acc=0.7279\n",
      "-----------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 300/300 [00:17<00:00, 17.22it/s]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 21.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch=2 train loss=8.633, test loss=8.529\n",
      "train acc=0.7208, test acc=0.7364\n",
      "-----------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 300/300 [00:17<00:00, 17.12it/s]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 21.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch=3 train loss=8.564, test loss=8.478\n",
      "train acc=0.7242, test acc=0.7413\n",
      "-----------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# 正式开启训练\n",
    "train_loss_hist, train_acc_hist, test_loss_hist, test_acc_hist, best_model = train(model, \n",
    "                          criterion,optimizer, train_dataloader, val_dataloader, epochs = 4,  device = device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "1b62795d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parameter containing:\n",
      "tensor([[-0.4994,  0.0190,  0.3312,  ...,  0.3265,  0.0924, -0.1412],\n",
      "        [ 0.4327, -0.0235, -0.4097,  ...,  0.0244, -0.3124,  0.1580],\n",
      "        [-0.3797,  0.1529, -0.0472,  ...,  0.0883, -0.3502, -0.3621],\n",
      "        ...,\n",
      "        [ 0.1283,  0.0241,  0.4349,  ..., -0.2407, -0.0196,  0.1469],\n",
      "        [-0.4777, -0.3896, -0.1857,  ..., -0.1969, -0.3567,  0.3871],\n",
      "        [-0.4019,  0.3598,  0.0834,  ..., -0.0779,  0.1665, -0.1375]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([[ 0.7101, -0.5315,  0.0823,  ..., -0.1158, -0.0341, -0.1832],\n",
      "        [ 0.5010,  0.3881,  0.0536,  ..., -0.4087, -0.4171, -0.0462],\n",
      "        [-0.7950,  0.0065,  0.2866,  ..., -0.0172,  0.1271,  0.4750],\n",
      "        ...,\n",
      "        [-0.1566,  0.0772, -0.3191,  ...,  0.0700,  0.0983, -0.4096],\n",
      "        [-0.1524, -0.1623,  0.1356,  ...,  0.5274, -0.1071, -0.2931],\n",
      "        [-0.3800,  0.2621, -0.3999,  ...,  0.4948,  0.0619,  0.4850]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([[-0.3390,  0.0624, -0.0346,  ...,  0.5750,  0.0038,  0.2570],\n",
      "        [ 0.3683,  0.2436, -0.1792,  ...,  0.5332,  0.3130,  0.0417],\n",
      "        [ 0.1833, -0.2309, -0.2557,  ..., -0.4004, -0.6314, -0.1553],\n",
      "        ...,\n",
      "        [ 0.3743, -0.2730, -0.3830,  ..., -0.3076, -0.0556, -0.3666],\n",
      "        [-0.1477, -0.2722, -0.1816,  ..., -0.3083, -1.0021, -0.2442],\n",
      "        [ 0.4344, -0.0497, -0.4322,  ..., -0.5808, -0.3654,  0.2746]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([[-0.6656, -0.2505,  0.3809,  ...,  0.5560, -0.2256,  0.2084],\n",
      "        [-0.3930, -0.1295, -0.3762,  ...,  0.0902,  0.0399,  0.4749],\n",
      "        [-0.0975, -0.1070,  0.3300,  ...,  0.0751,  0.6099,  0.0996],\n",
      "        ...,\n",
      "        [-0.1389,  0.2863, -0.2007,  ..., -0.3271, -0.3856, -0.2004],\n",
      "        [ 0.5753,  0.4310, -0.6311,  ...,  0.1027,  0.6074,  0.4081],\n",
      "        [ 0.0043,  0.0041,  0.3811,  ..., -0.2079,  0.0476, -0.0557]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([[ 2.6673e-01,  6.7102e-01, -3.2611e-01,  ...,  8.4228e-02,\n",
      "         -1.8150e-01, -2.3489e-01],\n",
      "        [ 2.0867e-01, -4.2799e-01, -1.1245e-01,  ...,  6.2648e-01,\n",
      "          6.8327e-01, -2.3476e-02],\n",
      "        [-7.5031e-04,  1.6757e-03, -3.1198e-01,  ..., -9.3028e-01,\n",
      "         -3.0918e-01,  2.5511e-01],\n",
      "        ...,\n",
      "        [-2.1434e-01, -6.7705e-01, -4.8145e-01,  ..., -2.7145e-02,\n",
      "          3.8680e-01,  8.6117e-02],\n",
      "        [-6.4254e-01,  3.2025e-01,  4.4715e-02,  ..., -5.3304e-02,\n",
      "          2.9424e-01, -3.4435e-01],\n",
      "        [ 2.8901e-01, -3.5307e-01, -4.2591e-01,  ..., -5.2657e-01,\n",
      "          1.6116e-01, -2.9802e-02]], device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0')\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0')\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0')\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0')\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0')\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0')\n"
     ]
    }
   ],
   "source": [
    "# 查看训练的各个参数，确保这一次只有相位被训练了（requires_grad=True）\n",
    "for param in model.named_parameters():\n",
    "    print(param[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "5a17d46d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Params to learn:\n",
      "\t phase_0\n",
      "\t phase_1\n",
      "\t phase_2\n",
      "\t phase_3\n",
      "\t phase_4\n",
      "\t distance_0\n",
      "\t distance_1\n",
      "\t distance_2\n",
      "\t distance_3\n",
      "\t distance_4\n",
      "\t distance_5\n"
     ]
    }
   ],
   "source": [
    "# 全部解禁，相位和层间距都拿来训练\n",
    "for param in model.parameters():\n",
    "    param.requires_grad = True\n",
    "\n",
    "# for name, param in model.named_parameters():\n",
    "#     if name.find('distance') != -1:\n",
    "#         exec('model.' + name + '.requires_grad_(True)')\n",
    "\n",
    "print(\"Params to learn:\")\n",
    "params_to_update = []\n",
    "for name, param in model.named_parameters():\n",
    "    if param.requires_grad == True:\n",
    "        params_to_update.append(param)\n",
    "        print(\"\\t\",name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "ca35e2ee",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 加载之前训练好的参数\n",
    "checkpoint = torch.load('best.pt')\n",
    "best_acc = checkpoint['best_acc']\n",
    "model.load_state_dict(checkpoint['state_dict'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "717642ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 加载损失函数和优化器\n",
    "criterion = torch.nn.MSELoss(reduction='sum').to(device)\n",
    "# criterion = torch.nn.CrossEntropyLoss().to(device)\n",
    "optimizer = torch.optim.Adam(params_to_update, lr=1e-4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "98f7eb5b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 300/300 [00:18<00:00, 16.13it/s]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 21.87it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch=0 train loss=8.577, test loss=8.47\n",
      "train acc=0.7299, test acc=0.7428\n",
      "-----------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 300/300 [00:18<00:00, 16.42it/s]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 21.78it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch=1 train loss=8.527, test loss=8.473\n",
      "train acc=0.7311, test acc=0.7421\n",
      "-----------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 300/300 [00:18<00:00, 16.40it/s]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 21.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch=2 train loss=8.526, test loss=8.469\n",
      "train acc=0.7291, test acc=0.7436\n",
      "-----------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 300/300 [00:18<00:00, 16.34it/s]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:02<00:00, 21.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch=3 train loss=8.525, test loss=8.468\n",
      "train acc=0.7308, test acc=0.7421\n",
      "-----------------------\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# 重新开启训练\n",
    "train_loss_hist, train_acc_hist, test_loss_hist, test_acc_hist, best_model = train(model, \n",
    "                          criterion,optimizer, train_dataloader, val_dataloader, epochs = 4,  device = device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "8e0adf56",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parameter containing:\n",
      "tensor([[-0.4924,  0.0243,  0.3339,  ...,  0.3280,  0.1064, -0.1303],\n",
      "        [ 0.4397, -0.0161, -0.4032,  ...,  0.0244, -0.2999,  0.1642],\n",
      "        [-0.3840,  0.1529, -0.0517,  ...,  0.1000, -0.3481, -0.3491],\n",
      "        ...,\n",
      "        [ 0.1290,  0.0199,  0.4390,  ..., -0.2392, -0.0139,  0.1478],\n",
      "        [-0.4778, -0.3857, -0.1846,  ..., -0.1896, -0.3554,  0.3926],\n",
      "        [-0.4015,  0.3623,  0.0842,  ..., -0.0802,  0.1641, -0.1316]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([[ 0.7072, -0.5385,  0.0753,  ..., -0.1178, -0.0436, -0.1861],\n",
      "        [ 0.5058,  0.3811,  0.0615,  ..., -0.4091, -0.4203, -0.0457],\n",
      "        [-0.8058,  0.0041,  0.2898,  ..., -0.0168,  0.1341,  0.4772],\n",
      "        ...,\n",
      "        [-0.1558,  0.0798, -0.3187,  ...,  0.0668,  0.0896, -0.4126],\n",
      "        [-0.1587, -0.1579,  0.1330,  ...,  0.5228, -0.1070, -0.2797],\n",
      "        [-0.3822,  0.2611, -0.3973,  ...,  0.4909,  0.0591,  0.4785]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([[-0.3326,  0.0645, -0.0342,  ...,  0.5779, -0.0050,  0.2547],\n",
      "        [ 0.3631,  0.2439, -0.1818,  ...,  0.5274,  0.3112,  0.0390],\n",
      "        [ 0.1750, -0.2315, -0.2463,  ..., -0.3989, -0.6341, -0.1472],\n",
      "        ...,\n",
      "        [ 0.3631, -0.2772, -0.3927,  ..., -0.3108, -0.0567, -0.3618],\n",
      "        [-0.1447, -0.2772, -0.1740,  ..., -0.3099, -1.0140, -0.2414],\n",
      "        [ 0.4314, -0.0510, -0.4321,  ..., -0.5809, -0.3600,  0.2754]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([[-0.6336, -0.2438,  0.3819,  ...,  0.5454, -0.2117,  0.2009],\n",
      "        [-0.3922, -0.1366, -0.3422,  ...,  0.0870,  0.0389,  0.4892],\n",
      "        [-0.1174, -0.1146,  0.3318,  ...,  0.0711,  0.6170,  0.1006],\n",
      "        ...,\n",
      "        [-0.1491,  0.2852, -0.1992,  ..., -0.3273, -0.3895, -0.2029],\n",
      "        [ 0.5744,  0.4381, -0.6239,  ...,  0.0970,  0.6171,  0.4051],\n",
      "        [ 0.0048,  0.0058,  0.3783,  ..., -0.2027,  0.0389, -0.0550]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([[ 0.2665,  0.6752, -0.3336,  ...,  0.0688, -0.1775, -0.2280],\n",
      "        [ 0.1951, -0.4208, -0.1200,  ...,  0.6194,  0.6790, -0.0187],\n",
      "        [ 0.0028,  0.0041, -0.3068,  ..., -0.9241, -0.3110,  0.2456],\n",
      "        ...,\n",
      "        [-0.2100, -0.6763, -0.4718,  ..., -0.0134,  0.3939,  0.1003],\n",
      "        [-0.6475,  0.3167,  0.0445,  ..., -0.0530,  0.2886, -0.3487],\n",
      "        [ 0.2829, -0.3586, -0.4164,  ..., -0.5211,  0.1526, -0.0249]],\n",
      "       device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([0.0041], device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0', requires_grad=True)\n",
      "Parameter containing:\n",
      "tensor([0.0040], device='cuda:0', requires_grad=True)\n"
     ]
    }
   ],
   "source": [
    "for name, param in model.named_parameters():\n",
    "    print(param)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8aa9faa1",
   "metadata": {},
   "source": [
    "### ***Saving***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "0ec77081",
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.save(model, 'MNIST_0.7491.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "239983a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 释放显存\n",
    "torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "619ac490",
   "metadata": {},
   "source": [
    "### ***Loading***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "771976ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = torch.load('MNIST_0.7426.pth')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d61eb80",
   "metadata": {},
   "source": [
    "### ***Data Analysis***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "8734a84a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.00407336\n",
      "0.00400053\n",
      "0.00399418\n",
      "0.00400239\n",
      "0.00400222\n",
      "0.00400189\n"
     ]
    }
   ],
   "source": [
    "for name, param in model.named_parameters():\n",
    "    if name.find('distance') != -1:\n",
    "        print('{:.8f}'.format(param.cpu().detach().numpy()[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "1d2be49c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\t phase_0\n",
      "\t phase_1\n",
      "\t phase_2\n",
      "\t phase_3\n",
      "\t phase_4\n",
      "\t distance_0\n",
      "\t distance_1\n",
      "\t distance_2\n",
      "\t distance_3\n",
      "\t distance_4\n",
      "\t distance_5\n"
     ]
    }
   ],
   "source": [
    "for name, param in model.named_parameters():\n",
    "    if param.requires_grad == True:\n",
    "        print(\"\\t\",name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "ff703d42",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 查看\n",
    "def visualize(image, label):\n",
    "    image_E = torch.sqrt(image)\n",
    "    out = model(image_E.to(device))\n",
    "    fig, (ax1, ax2) = plt.subplots(1, 2)\n",
    "    ax1.imshow(image.squeeze(), interpolation='none')\n",
    "    ax1.set_title(f'Input image with\\n total intensity {image.squeeze().sum():.2f}')\n",
    "    output_image = torch.abs(out[1]).detach().cpu()\n",
    "    ax2.imshow(output_image.squeeze(), interpolation='none')\n",
    "    ax2.set_title(f'Output image with\\n total intensity {output_image.squeeze().sum():.2f}')\n",
    "    fig.suptitle(\"label={}\".format(label), x=0.51, y=0.85)\n",
    "    plt.show()\n",
    "\n",
    "def mask_visualiztion():\n",
    "    for name, mask in model.named_parameters():\n",
    "        if name.find('phase') != -1:\n",
    "            plt.imshow(torch.sigmoid(mask.detach().cpu())*360, interpolation = 'none')\n",
    "            plt.title(f'Mask of layer {name}')\n",
    "            plt.colorbar()\n",
    "            plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "38979bf8",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfAAAAGxCAYAAACdqOQvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACXb0lEQVR4nO2dd3xUVfrGn0kmmfRJb6QCoSYUASlSgjSRKrqoWFBxRSmKFBVZV3SRKDZcFFxdBIRF1lVAsABBIIgUIRDpPYEACYGQXibJzP39wY/ocJ6RhATJkPf7+dyP8uSdO+fce+49c899znt0mqZpEARBEATBrnC42QUQBEEQBKH6SAcuCIIgCHaIdOCCIAiCYIdIBy4IgiAIdoh04IIgCIJgh0gHLgiCIAh2iHTggiAIgmCHSAcuCIIgCHaIdOCCIAiCYIdIBy4AABYuXAidTgedTodNmzYpf9c0DY0bN4ZOp0N8fPwNKUNaWhp0Oh3eeeedG7L/K1y6dAkPPPAAAgMDodPpMHToUJux8fHxN6y+dQmdTodx48bd7GJcN1u2bMGTTz6Jdu3awWAwQKfTIS0t7WYXSxBuKPqbXQChbuHp6Yn58+crnVZSUhJOnDgBT0/Pm1OwWuQf//gHVqxYgc8++wyNGjWCr6/vzS6SUEN+/PFHrF+/Hm3btoWXlxf9ESoItxryBC5Ycf/99+Prr79Gfn6+lT5//nx07twZERERN6lktcf+/fvRqFEjPPTQQ+jUqROaNGlys4t03RQXF9/sItQJXnnlFaSlpWHFihUYMGDAzS6OIPwpSAcuWPHggw8CAL744otKLS8vD19//TWeeOIJ+pnXXnsNHTt2hK+vL7y8vHDbbbdh/vz5uHqdnA0bNiA+Ph5+fn5wdXVFREQE7r333j/shMrLyzFy5Eh4eHjg22+//cOyX7p0CWPGjEGDBg3g7OyMhg0bYtq0aTCZTAB+G6Jfv349Dh069IevDP6IqtR31KhR8PX1pXW788470bJly8p/a5qGuXPnok2bNnB1dYWPjw/uu+8+nDx50upz8fHxiI2NxebNm9GlSxe4ubnZPCcA8Nhjj8HDwwMHDhxAr1694O7ujoCAAIwbN87mMV+8eDGaN28ONzc3tG7dWjnmx48fx+OPP46YmBi4ubmhQYMGGDRoEPbt22cVZ7FYMGPGDDRt2hSurq7w9vZGq1at8MEHH1jFHTt2DCNGjEBgYCAMBgOaN2+Ojz76yGadbOHgILcyof4hQ+iCFV5eXrjvvvvw2WefYfTo0QAud+YODg64//77MXv2bOUzaWlpGD16dOXT+fbt2zF+/HicPXsWf//73ytjBgwYgG7duuGzzz6Dt7c3zp49izVr1qCsrAxubm7KfnNzczFs2DAcOnQISUlJaNeunc1yl5aWomfPnjhx4gRee+01tGrVCj/99BMSEhKQkpKC7777DiEhIdi2bRvGjBmDvLw8/Oc//wEAtGjRolrHqCr1fe655/DZZ59h6dKlePLJJys/e/DgQWzcuNGqkxo9ejQWLlyIZ599Fm+99RYuXbqE119/HV26dMGvv/6KoKCgytiMjAw8/PDDeOGFFzBz5sxrdlzl5eW4++67MXr0aLz00kvYunUrZsyYgVOnTmH16tVWsd999x127tyJ119/HR4eHpg1axbuueceHDlyBA0bNgQAnDt3Dn5+fnjzzTcREBCAS5cuYdGiRejYsSP27NmDpk2bAgBmzZqF6dOn429/+xu6d++O8vJyHD58GLm5uVbHokuXLoiIiMC7776L4OBgrF27Fs8++ywuXryIV199tVrnRRDqHZogaJq2YMECDYC2c+dObePGjRoAbf/+/ZqmaVqHDh20xx57TNM0TWvZsqXWo0cPm/sxm81aeXm59vrrr2t+fn6axWLRNE3TvvrqKw2AlpKSYvOzqampGgDt7bff1lJTU7UWLVpoLVq00NLS0q5Z/o8//lgDoH355ZdW+ltvvaUB0NatW1ep9ejRQ2vZsuU193kl9nrqe+Wzbdq0sYp/5plnNC8vL62goEDTNE3btm2bBkB79913reLS09M1V1dX7YUXXrDaHwDtxx9/rFLZR44cqQHQPvjgAyv9jTfe0ABoW7ZsqdQAaEFBQVp+fn6llpmZqTk4OGgJCQk2v6OiokIrKyvTYmJitOeff75SHzhwoFL3q+nXr58WFham5eXlWenjxo3TXFxctEuXLlWpnlfz9ttvawC01NTU6/q8INgLMu4kKPTo0QONGjXCZ599hn379mHnzp1/OFS7YcMG9O7dG0ajEY6OjnBycsLf//53ZGdnIysrCwDQpk0bODs746mnnsKiRYuU4eHfs3v3bnTq1AlBQUH4+eefERkZec0yb9iwAe7u7rjvvvus9MceewzAZZNTbVGV+gKXn8JTUlLw888/AwDy8/OxePHiylcCAPDtt99Cp9Ph4YcfRkVFReUWHByM1q1bK8P7Pj4+uPPOO6tV3oceesjq3yNGjAAAbNy40Urv2bOnlUkxKCgIgYGBOHXqVKVWUVGBmTNnokWLFnB2doZer4ezszOOHTuGQ4cOVcbdfvvt+PXXXzFmzBisXbtW8VSUlpbixx9/xD333AM3Nzerut99990oLS3F9u3bq1VPQahvSAcuKOh0Ojz++ONYsmQJPv74YzRp0gTdunWjsb/88gv69u0LAPj000/x888/Y+fOnZg2bRoAoKSkBADQqFEjrF+/HoGBgRg7diwaNWqERo0aKe9EASAxMRHnz5/Hk08+CW9v7yqVOTs7G8HBwdDpdFZ6YGAg9Ho9srOzq1r9P6Sq9QWAIUOGICoqqnK4fOHChSgqKsLYsWMrY86fPw9N0xAUFAQnJyerbfv27bh48aLV94eEhFSrvHq9Hn5+flZacHAwACjH5Oo4ADAYDFZ1mjhxIl555RUMHToUq1evxo4dO7Bz5060bt3aKm7q1Kl45513sH37dvTv3x9+fn7o1asXdu3aVfndFRUVmDNnjlLvu+++GwCUuguCYI28Axcojz32GP7+97/j448/xhtvvGEzbtmyZXBycsK3334LFxeXSn3lypVKbLdu3dCtWzeYzWbs2rULc+bMwYQJExAUFIQHHnigMm7KlCk4ceIEHn30UVRUVODRRx+9Znn9/PywY8cOaJpm1YlnZWWhoqIC/v7+Vaz5H1Od+jo4OGDs2LF4+eWX8e6772Lu3Lno1atX5XtiAPD394dOp8NPP/0Eg8Gg7ONq7eofKNeioqIC2dnZVp1zZmYmAN5hX4slS5bg0UcfxcyZM630ixcvWv3Y0uv1mDhxIiZOnIjc3FysX78eL7/8Mvr164f09HT4+PjA0dERjzzyiNUPmt8THR1d7fIJQn1CnsAFSoMGDTBlyhQMGjQII0eOtBmn0+mg1+vh6OhYqZWUlGDx4sU2P+Po6IiOHTtWPpnu3r3b6u8ODg7417/+heeeew6PPfYY5s2bd83y9urVC4WFhUpH+vnnn1f+vTaobn2ffPJJODs746GHHsKRI0eUZCkDBw6Epmk4e/Ys2rdvr2xxcXE1LvMVs94Vli5dCgDXlaBGp9MpPyq+++47nD171uZnvL29cd9992Hs2LG4dOkS0tLS4Obmhp49e2LPnj1o1aoVrfv1/MAQhPqEPIELNnnzzTevGTNgwAC89957GDFiBJ566ilkZ2fjnXfeUW7yH3/8MTZs2IABAwYgIiICpaWl+OyzzwAAvXv3pvt+99134enpiTFjxqCwsBBTpkyxWY5HH30UH330EUaOHIm0tDTExcVhy5YtmDlzJu6++26b31FdqlrfK3h7e+PRRx/FvHnzEBkZiUGDBln9/Y477sBTTz2Fxx9/HLt27UL37t3h7u6OjIwMbNmyBXFxcXjmmWeuu7zOzs549913UVhYiA4dOlS60Pv374+uXbtWe38DBw7EwoUL0axZM7Rq1QrJycl4++23ERYWZhU3aNAgxMbGon379ggICMCpU6cwe/ZsREZGIiYmBgDwwQcfoGvXrujWrRueeeYZREVFoaCgAMePH8fq1auxYcOGKpfrwoULSEpKAoDKKW0//PADAgICEBAQgB49elS7roJQ57nJJjqhjvB7F/ofwVzon332mda0aVPNYDBoDRs21BISErT58+dbOYG3bdum3XPPPVpkZKRmMBg0Pz8/rUePHtqqVasq9/N7F/rvueIq/vvf//6HZcvOztaefvppLSQkRNPr9VpkZKQ2depUrbS01Cqupi70qtT392zatEkDoL355ps2v+ezzz7TOnbsqLm7u2uurq5ao0aNtEcffVTbtWvXdZVb0y670N3d3bW9e/dq8fHxmqurq+br66s988wzWmFhoVUsAG3s2LHKPiIjI7WRI0dW/jsnJ0cbNWqUFhgYqLm5uWldu3bVfvrpJ+U4vfvuu1qXLl00f39/zdnZWYuIiNBGjRqlzChITU3VnnjiCa1Bgwaak5OTFhAQoHXp0kWbMWNGleupaVrlzAm2/dEsAkGwZ3SadlW2DUEQapVJkyZh3rx5SE9P/1OHhR977DF89dVXKCws/NO+UxCEPw8ZQheEG8T27dtx9OhRzJ07F6NHj5Z3uoIg1CrSgQvCDaJz585wc3PDwIEDMWPGjJtdHLvEbDYrKXl/j06nszIUCkJ9QobQBUGos0RFRVklkrmaHj16yMpjQr1FnsAFQaizrF69unIxGsatsLytIFwv8gQuCIIgCHaIJHIRBEEQBDvkhg2hz507F2+//TYyMjLQsmVLzJ4922Y+7d9jsVhw7tw5eHp6VjttpCAIgnDz0TQNBQUFCA0NvaFrtZeWlqKsrKzG+3F2drZKjWw33IjJ5cuWLdOcnJy0Tz/9VDt48KD23HPPae7u7tqpU6eu+dn09HSbCRlkk0022WSzny09Pf1GdDGapmlaSUmJFhzoWCvlDA4O1kpKSm5YWW8UN+QdeMeOHXHbbbdZ5bBu3rw5hg4dioSEhD/8bF5eHry9vfFuUlu4elhPD/l82mD6mTP91So81IEvRfi/NTx9pNs5Xh6zQR0F8O6TQWPP53JDzb1NUqjezIV/6Y85LRRt+8aWNNaxhI9SuGXx01oQqWoNu5ymsad+JMEAKjz4vis8LVTXF6q/wPWNC2jsD+0WUH3kmKepXurnRPXX/v6Zov3zLE+neuabKKo3vOc41fPeCFO086P5U4DLWt4m8nqUUN3/e/4U4HVSTcbS/qO9NHb58dZU/2uzrVSf/99+iuZQQUNR7sXPvXMOb4eOXXOobtrto2iajdlgjjY8bE5FNvQ+6ipmTg5mGnv+aADV9UW8Pg5lXPc8pR6X7F6lNDYmNIvqpy6pxwQASnNcqe6Wprb9Cnd+fsrD+UF0Psnbm+ao7sdi4wHVKVc9JmZTKU5++Dpyc3NhNBr5B2tIfn4+jEYjUpMj4eV5/U/5+QUWRLc7hby8PHh5edViCW88tT6EXlZWhuTkZLz00ktWet++fbF1q3oDMZlMVi7TgoLLN3ZXD0e4elgXT+/EW5CDq9rYDB78xu5gY5jE0ZnKAOnA9e4877VDGd+3rbK4ufI7lnO5Whib5bbYuHE68wvZgezGyZ1X3tHAv9PiYmPfrrwDd6hQLy5HN97hedq4EPV6Xha9Ez+27mQ/1a2nrXhWFkc3W+fBRpt148fQVhvXO5Yrmq125ejG9+HiwS93Vn8HG52p2ca5dyTXyeWy8GuFfadm425ka5Y3OSQ2v1PvyDtwW9eVg9lGfWy81mPXm4MbL5+t+4djqY2y2NAdDer5t31t2ii3jfqzDhw2OnBb5x6o/up514OXp0ONOnB7ptZrffHiRZjNZgQFBVnpQUFBlcsY/p6EhAQYjcbKLTw8vLaLJAiCINyimDVLjTd75Yb9bLn6l5d21TrNV5g6dSry8vIqt/T09BtVJEEQBOEWwwKtxpu9UutD6P7+/nB0dFSetrOyspSncgAwGAx0KcateTFwNlsPYbo8b+NF9bFQRTpSqH4XALjF8ndyOSEeVPfbqg5TRXheorHZ69VyAMDStO5U90/hDWfq658rWpILXxfa6yTfh2bjp1lYZ3XdZstodxqrS8ijuvuP/J1Wrk/V3437fMPfNXUp50tnVgzmTVXT81/PT88fo2iBKXzM1cWb7yOziJcxv606luixnA+3Wx5U38cCgDmL7ztrMH9XmXNMPeamFzrT2Io7+dD6ojV3Uz3wAbVNnN4XQmOdwviL54q9/F2/Zasv1f3vVH0kWXn8GsRuG/u2MbaenaPuJ/B7Pmz9+EubqP7FsXZUL7bxPjo8Xh1dNC/jo4k5RRFUd/bnF23wQd4mzsar11t5GH815ZzKx7/LjLzt++9RH7Z0Fn59ZxPLhaX0z+sULbCgJs/QNfv0zaXWn8CdnZ3Rrl07JCYmWumJiYno0qVLbX+dIAiCINRLbsg88IkTJ+KRRx5B+/bt0blzZ3zyySc4ffo0nn6aO4kFQRAE4XowaxrMNZhMVZPP3mxuSAd+//33Izs7G6+//joyMjIQGxuL77//HpGRfFqSIAiCIFwPNX2Pbc/vwG+YiW3MmDFIS0uDyWRCcnIyunfn74EFQRAEwV5ISEhAhw4d4OnpicDAQAwdOhRHjhxR4g4dOoTBgwfDaDTC09MTnTp1wunTv+XcMJlMGD9+PPz9/eHu7o7BgwfjzJkz1SpL/Zw8JwiCINwSWKDBXIOtuk/gSUlJGDt2LLZv347ExERUVFSgb9++KCr6zeB54sQJdO3aFc2aNcOmTZvw66+/4pVXXrFK1zphwgSsWLECy5Ytw5YtW1BYWIiBAwfCbOY5Cxh1bjWyK9l1ejWeAL2jtXP08FieNcmnoeoKd5/vTWNzmvC3BgG7bbh/m6ru1dxYnqbK5Tzfd2k4d4Y65PH4x3tvUrT523geedfT3HEc+jPPApXeW63P0AHbaOyahdx0ePuIX6m+bw53yleQRA+eZ/kxTBtGZTi48vhA/3yqFyWqsxBMfjaSXJh4sonuA/dQPXGbarv1OcD3UerP9eJGvE2Efcet1SYv9bf2hc420qXZyp1hI+lPs7nqMcyI5+7xvDgb2VNsJT7xsuGKPqhmOXG9wM9Pzh382gz7ml8/jaYeUrSffuaZDJu142uNHzjMHeS92x6g+pbTDRXt7oY89puNt1Pd7MHd0JHf2MiqGK7W/1Infn7uaMazCh79pDnVs1up36n58XPZtYm67/KiMnzZa8kNzW52pa84cTjYZgKoqlBQYEGjZpnXXdYLFy4gMDAQSUlJlSPNDzzwAJycnLB48WL6mby8PAQEBGDx4sW4//77AQDnzp1DeHg4vv/+e/Trp2ZHZMgTuCAIglDvyc/Pt9r+aB3635OXd3m6ra/v5R+9FosF3333HZo0aYJ+/fohMDAQHTt2xMqVKys/k5ycjPLycvTt27dSCw0NRWxsLM1YagvpwAVBEAS75YoLvSYbAISHh1tlBb3Wuh3A5QRlEydORNeuXREbGwvgcs6TwsJCvPnmm7jrrruwbt063HPPPRg2bBiSkpIAAJmZmXB2doaPj3X+e1sZS21xw5YTFQRBEIQbjeX/t5p8HgDS09OthtBZgrGrGTduHPbu3YstW7b8tj/L5T0OGTIEzz//PACgTZs22Lp1Kz7++GP06NHD5v5sZSy1hTyBC4IgCPUeLy8vq+1aHfj48eOxatUqbNy4EWFhv61Q6O/vD71ejxYtrFeVbN68eaULPTg4GGVlZcjJsc4MaitjqS3q7BP46ekuyqpCDf7DzRx5p/0Vzfw0H4awbA6mem4MT4V57+gNirZ8Xk8aG/QzT7Ga+Q8qw3EbXz5woVndv9cZ/qvMljHrxAP81Lqmq/vZMIen5CxtZCN1ookvs1QYxn8PFoeov4/ds3h9jPt5ucvduVmvoAM31pREqN8Z0ISnNXVYpLYfAKi4mxvKGq5UvzOjE09V+fRD31H9gzX9qa49xZeavHhMNXBO7raGxi4/15bv4zt1GVQAePDL9YqW8MVwGttwGX/WyXlOXe4UAHKyeBrUgBTVgFfix493yLf82rzYire3wkWxiuZnY+nRVneqaWQBIG8tT3e6Kb8V1R2j1Pqn5PDjbWsJYM803vajX91HdZNZjT+yqBmN7dn5MNVLR/HvHOClpq1espY/OXq3VJfGLdPbMDveAK64yWvy+eqgaRrGjx+PFStWYNOmTYiOjrb6u7OzMzp06KBMLTt69GhlLpR27drByckJiYmJGD788rWWkZGB/fv3Y9asWVUuS53twAVBEAThWpi1y1tNPl8dxo4di6VLl+Kbb76Bp6dn5Ttro9EIV9fLufKnTJmC+++/H927d0fPnj2xZs0arF69Gps2baqMHTVqFCZNmgQ/Pz/4+vpi8uTJiIuLQ+/evatcFunABUEQBLultt6BV5V58+YBAOLj4630BQsW4LHHHgMA3HPPPfj444+RkJCAZ599Fk2bNsXXX3+Nrl27Vsa///770Ov1GD58OEpKStCrVy8sXLgQjo42VukhSAcuCIIgCFWkqqlTnnjiCTzxxBM2/+7i4oI5c+Zgzpw5110W6cAFQRAEu8UCHcw2sxdV7fP2inTggiAIgt1i0S5vNfm8vVJnO/CyUic4OFi7TwtD+buBwlZq2lC/2X40Njy7gOrZr/KsO59tUp2XYed4rtqT93NX+cho1ckOAD9kx1PdEHdB0YqbcCeuLpmnvLSV8nG9pqaUNJ7kbt5GXU5T/dJbUbwsPFsl3M+q+y8M4b9681pzV7mnDRtxRTI/5k8NT1S09c/cQWMtBu6YNVn45XHyHtURr9nYxycLBlDdpUse/84v+RQSraPq2g7Q8zSy53KMVHct5XeqRWOGqOUYwt8Mpj7K9xH6uTfV+XwFoCBcbRN+B3n633NdXKke0ZOnQT2+W02Des+dO2jsd6d4o9WF8XuN3oab3Xmb6rZvOuIYjS2/ne/7wrYQqm860JTqD972i6Lt9+TX1dKzPH1rzlcNqO73hFpRI68Ofj7eXtHMZaUAvuIfEGqNOtuBC4IgCMK1MNdwCL0mn73ZSAcuCIIg2C31uQOXTGyCIAiCYIfIE7ggCIJgt1g0HSxaDVzoNfjszUY6cEEQBMFuqc9D6HW2A/f3KYCju7Uj2SGLJ5f3XKFW49wd3Onpke5B9aLdXG+Qorpx03kaa0R8x93pi8t7Ub3Xy8lUT77IcygzypuqeYgB4Hg+z+8NR9VF7DZKzXsMAKkXuZNf15bnJW8/YD/Vd2xQnb4WPb9ofHbxfRdGeFO9PJK71r/9+52K5mxQndwAcPIhXpbsZS2o7nFnjqKFvsEvpePPc3e693deVC/sz3OKh3zlrmivBwyksRG+avkAoCyV52vP7KheV6FN+VoCd4fy2Q17G3M3844DjagetFk95obXbCyjuDaayvmfqG5zABjzt3WK9u9ld9HYqHk8R7jv6gyq/7qctwmWzsvXiVvWnRz5fUJz4A5/v+38mvjS9TZF07UrprGns/hsFec+fCbDut1xamwkDUWZr1ofSwmvo1C71NkOXBAEQRCuhRkOMNfAzmXPPzWkAxcEQRDsFq2G78A1eQcuCIIgCH8+9fkduEwjEwRBEAQ7RJ7ABUEQBLvFrDnArNXgHbjkQq99BoXtg4uHdfE+7tSHxgbsVk9eWOezNDbNPZTqmjM/i7mNVTd7yCaeJ/rsAzyfupMzd4r/8qHqIgUAxzK1LLk9+Hf67eJue1Mhz6vc7bmDirblaGMaq3fm9g7PLH6sftrLczazQxvdN5XGHj7Hc4F7bONZtQtceRPO6KIOizlFccd64Co+A6H789uonl+hurlPvcVdvtpe7pS+dBs/nw6nVbc5AGSQ8+90lDvZHf/Nnchp0/h3jmqn5upftL8TjW3dmOcfX/wVn2kRmMbbyvl41Z0f6sBnCTh3ukR1/7tyqb7s7X6K1uAEPyYVTfj52ZHGh1X1vKkgcrWa2z4pvQuNzYnh16zZjx+rsIdPUt1xfkN13/15PS1n+PVTEmij49OpZalw4+XTWdRjxbQbhQU6WGowmGyB/fbgMoQuCIIgCHZInX0CFwRBEIRrUZ9NbNKBC4IgCHZLzd+ByxC6IAiCIAh/InX2CfyzvV3g4GZtFgrbwE04Z+5Uf4eUl/C0kYbs6v1mCe6XrmhnN3HjizGJf6etEZpO43dR/fsjsYrmsceVxvp9toPqaa/fTvWLp6IU7YFWvBybz3Nz29k2PKVtg0R+bM8NUs19hbN4uthAL27wyerAz3279seofvS/qqHOuUUpjS1q4En1i2XcsVRuUctYWsHTXRoP85Nv8uXHqtewnVTfvKiDot3z5CYau2FLV6o3n3yc6iuH9VTFntx4ubmgGdVLQ7kBzezGz6feTY2/WMKPd0Ehb/uHi3k7dPNSj/mpu/k+yoN5qlvnE/x8urTlhrqyrWrZK/56kZfvv4FU73//dqp/9Ss3u3p7qvU0Z/B6Bsedp3q4Zy7VT36qXj8FEbwt9xy0W9HKCsuwgEbXPpdNbDVYzESG0AVBEAThz8dSw1Sq4kIXBEEQBOFPRZ7ABUEQBLulPpvYpAMXBEEQ7BYLHOptIhfpwAVBEAS7xazpYK7BimI1+ezNps524M3CzsPJ3dlKK3meO0MtR9W0oXn5PCVloztPU/305giqp+1S3dJRm7hDN6+hDRf6cO5Gbe/B04n+uF91HDvYWLTWltvccIk3SjcvNdWiycKbwaWfg6nef7DqOgWAXb+0pXrMR6rT1+99Xvcji7jL+Yk+arpPwLaD9Hh5E0UrKObnx7VLNtV3nImkuq+HegyzC3h78+DZdeF5mrvqv9vcjupO/qq25WIjGnv6bv6dL846QvV/v6s6jl1289Sbu+e2obrPC2oqUQB4qvsWqn81Rk13WurP3dmuUdzJHjPYxgwEtxhFcz/H20nQCn6Ccprze41De+5aTx2mPgEGLw6gsbnqJBMAwFcp/Nw3icyk+plj5J5loy/KPMSP7TkjTwGsI6l+XTP4edi2QHXJm8tKAXzJCyPUGnW2AxcEQRCEa2GuoQvdLEPogiAIgvDnY9EcYKmBic1ixyY2mUYmCIIgCHaIPIELgiAIdosMoQuCIAiCHWJBzZzk3E5qH9TZDvzYjkg4uFi7hm/vcYjGnspTneIN/11EYwvecKa6rVcoDlHqfk6M4g5V94O8Efk7l1H9zcXDqR7+Y4GiZcfxPNFN7z1K9bRPVRc2AJw/rbpOf/qSu2VL2/KmnXiMO8X9hl+g+qmdqgP27OrmNNazkH/n1ksNqX48i9izAVji1fP2TpuvaezEX+7n+8jlbSWjVD3/7jZy1ef05jMWXG3Eh2zl0w0uxqmau563K1tO5P+Nv4vqOY+rOeId9bwcx5vxY+L+sx//zg/4d6aPVnOh6w/yWQKlgbwsyxsnUr19tprDP081pgMAclvy8xAazXOHX9rGZ2aQiQnQHs7isRXczW3+kR/D4m8bcP0u1RHvv43f0kMe47M+DiRHUd3tnHpDNPnyJ9XiCPX8WEp4bvxbgYSEBCxfvhyHDx+Gq6srunTpgrfeegtNm6qzOQBg9OjR+OSTT/D+++9jwoQJlbrJZMLkyZPxxRdfoKSkBL169cLcuXMRFsbXiWDIO3BBEATBbrmSyKUmW3VISkrC2LFjsX37diQmJqKiogJ9+/ZFUZH60LBy5Urs2LEDoaGhyt8mTJiAFStWYNmyZdiyZQsKCwsxcOBAmM025gwT6uwTuCAIgiBci5qnUq3eZ9esWWP17wULFiAwMBDJycno3r17pX727FmMGzcOa9euxYABA6w+k5eXh/nz52Px4sXo3bs3AGDJkiUIDw/H+vXr0a+fmieBIU/ggiAIQr0nPz/fajOZbGRhuoq8vMtJjHx9f3s9abFY8Mgjj2DKlClo2bKl8pnk5GSUl5ejb9++lVpoaChiY2OxdevWKpdZOnBBEATBbrmyHnhNNgAIDw+H0Wis3BISEq753ZqmYeLEiejatStiY39LsffWW29Br9fj2WefpZ/LzMyEs7MzfHx8rPSgoCBkZvLMe4xqd+CbN2/GoEGDEBoaCp1Oh5UrV1r9XdM0TJ8+HaGhoXB1dUV8fDwOHDhQ3a8RBEEQhGtyZQi9JhsApKenIy8vr3KbOnXqNb973Lhx2Lt3L7744otKLTk5GR988AEWLlwIna567nhN06r1mWq/Ay8qKkLr1q3x+OOP495771X+PmvWLLz33ntYuHAhmjRpghkzZqBPnz44cuQIPD09q/w95b4VcHC1djL+vJc7q10L1QqfGmDkO97G9aDd3DUZcOc5RUs+wB3R+kL+lQXLVAMDADwz8Tuqr9pyp6KVe/GTuj9TzQMPAO2f5j+aclLVsvs8wnO1XzjO9x36BXci59hw5zeJP6loBWUGGnvqCHf5urzJnZle43OpblqvOuvnJQyhsc0+4L94L6yNonpBuOpcds7jDl0thbucnXvYOOY+3Ins1FzNNX40kedCD0jnZTkTz93P7rvVtuXdL4PGXtzH20RRE+6Ij7qH51/v6666vD/O60ljg5P4c0ZDy9NUdwlW6+OUT0PRv9ceqv+SxfPg25oyXBijOsKLj/AZEg1acId71AP7qb7lCLfQx3yqmp2KQvmxOpoUTXW3An5f8TtE6uPPu4sLnaj8p1HzeeCXP+vl5QUvL68qf278+PFYtWoVNm/ebOUc/+mnn5CVlYWIiN9y1ZvNZkyaNAmzZ89GWloagoODUVZWhpycHKun8KysLHTp0qXKZah2rfv3748ZM2Zg2LBhyt80TcPs2bMxbdo0DBs2DLGxsVi0aBGKi4uxdOnS6n6VIAiCINQpNE3DuHHjsHz5cmzYsAHR0dY/jh555BHs3bsXKSkplVtoaCimTJmCtWvXAgDatWsHJycnJCb+NhUyIyMD+/fvr1YHXqsu9NTUVGRmZlq9mDcYDOjRowe2bt2K0aNHK58xmUxWZoH8fBs/lQVBEAThKiyaDpaaJHKp5mfHjh2LpUuX4ptvvoGnp2flO2uj0QhXV1f4+fnBz896JM3JyQnBwcGVc8WNRiNGjRqFSZMmwc/PD76+vpg8eTLi4uIqXelVoVZNbFcqEhQUZKX/0Yv5hIQEK+NAeHh4bRZJEARBuIWx/P8Q+vVu1Z0HPm/ePOTl5SE+Ph4hISGV23//+99q7ef999/H0KFDMXz4cNxxxx1wc3PD6tWr4ejIX3Uxbsg88Ktfwv/Ri/mpU6di4sSJlf/Oz8+XTlwQBEGok2jXsXpZWlqaorm4uGDOnDmYM2fOdZelVjvw4ODLBqTMzEyEhPxmdsnKylKeyq9gMBhgMHBDkyAIgiD8ETVfTtR+Z1PXagceHR2N4OBgJCYmom3btgCAsrIyJCUl4a233qrWvtxPOMHRYO1qjhl0jMYe8lOdy467uOO9KIq7zUNeOk51o5OayzqCm8eRH8H14v5qbnMA+PcnA6juM011vpfnq65QANAlc9fk8a9aUL0iXs01fvooL3h4Cj9W2Y/zPPPxDVS3OQAkniQ5go+509jQPTwXuvl57tqOcOPH9vwpNef7hfbeNDZ/G9c9uYEcblnqL/ACbvJFn77JVP/hp7ZU10Xz3OnN/dT6m77lTwKdFqVQfeEubo75y6AdivbNf7rRWKc7cqj+ZGN1HwCw4pU+VN/3pOpmd8nkt6Ps1rye+kCSgBwAGqjubL2N3O4Hp5Ak8wD0vnxGhQNPd422zdIU7ddkPkvgTIbaNgEg7wfu8Mdtaq56ALjwgqrnn+D55Bu05K8wY335bINti25T992Jt81gP9W3ZC4y4QyNrn3M0MFsawGAKn7eXql2B15YWIjjx3/r7FJTU5GSkgJfX19ERERgwoQJmDlzJmJiYhATE4OZM2fCzc0NI0aMqNWCC4IgCEJ9ptod+K5du9Cz52/zNa+8vx45ciQWLlyIF154ASUlJRgzZgxycnLQsWNHrFu3rlpzwAVBEAShKsgQejWIj4//w5f4Op0O06dPx/Tp02tSLkEQBEG4JmbUbBi86mt/1T3s96eHIAiCINRj6uxyoqWtiuHgZm1o+nU3N4X0uyNF0damt6Gxzr7cEHJ0MXenWJzUX3b+hXwfOgufv6ft50az4gZ8JCP472p86Rh+qnQB3PRV2oKvpNNgpZoG1bGMm9UKwnh9PJbz1yE/tOfGLMMF9XdiSWNevnPh/JjYWuL+xCWertLUUi27UztuwPL9H0+ve74rP7Yd4k4o2s79vG2+GZJE9Y0X2lHdfwNPU3vOX02Be/F5fgwLX+MGNPcYfj7Px6rtze08Pw+lST5UNzfmT0BneXZUjGhwWNFyA0/T2L0zWlO9JJabqpr6Zina8yHraOw/pg+i+onjfCpr0w95vuSUEPX8uFzkz0fu+/g5zm7LnwUNJ7kxrchFnb3jEMGPScFqbpDbWcRTFxf0UQ2COhsJT7JzPRTNUvzndS0yhC4IgiAIdsifvR54XUI6cEEQBMFu0X63JOj1ft5esd+fHoIgCIJQj5EncEEQBMFukSF0QRAEQbBD/uzVyOoSdbYD1y64QHOxdl/e2WUfjf3h11hFG9BtD4215Wh1LOWpSi/GqY7RjM7cFep5mruWK/rlUt3VgccffUp1eXt48rSRbut5Hvmc/nzfpsdVJ3bufj8SCXimURlNxh6kumshdyifzVZd3i+2+pHG/vMgty0XlfHUlhU/87SUDuRHtZuhjMaa7ufu9PvCjlL9+/91VrSmfU7R2EFPjqd6eQ/u8r7Qhl+S7QfsV7QT7/N0uWeH8Hq6uPMUuMfzVSd/Vjy/Hnx38POw9ON+VG90TzrV151tpmj5uwJorF4NBQAEv6O6nwFg21C1TaRu5TspCONPX3FDeFrgsx14zlzNVT1eFZ5835YLVEbwz7wjyb2PL7Ec7q3q6b80oLEl/NDCbCP9891NDijaDz+2p7FNOqYpWnlRGVL5roVapM524IIgCIJwLa4sC1qTz9sr0oELgiAIdkt9HkK3358egiAIglCPkSdwQRAEwW6xwAGWGjyL1uSzNxvpwAVBEAS7xazpYK7BMHhNPnuzqbMduMXVDLha5wbecLQJjdUVqzmev9vdisb6+/J80G42nKEBKWq+6UstuPM7bwh3+Wp7vakevuAc1YtGqS7aTi25y3lTLK+nS7I71XOC3BTNkM8bcJdRyVTfuJzn8dZx4ztgVB3X75zhOagtBu7Orgjgv5L90vmX5jVW4zMzvWls08hMqm84G0P1BpvU82zazXNNmydepHrYu9z5f7YHd3nvW6LOtGgwhvt8w514jvSdqZFUDwhW83tnHedu5pxWPF+3Pt/GU8wKnlM8N051bbvxYqO4Af9OBxPX2doIZ9p609hzx3iW/X02dMemvH0GbVJvpedtOPlNuTwXelFvnme9b9QRqm8601jRyn35MQmOzKb6+Sy+DsCa9arjPHwDr89RS5SiWUr5ehFC7VJnO3BBEARBuBb12cQmHbggCIJgt2g1XI1Mk0xsgiAIgvDnY4YO5hosSFKTz95s7PenhyAIgiDUY+QJXBAEQbBbLFrN3mNbuC/RLqizHfhDHbbD4GHtyF0xP57Ghg1T3biHzwbT2JIg7vItGcQd5M6JXoq2avIsGhu/4TmqO7hSGeXB3lR3y1Ab44atcTTW2OwS1XMDeZ7oTjFqjudDS5vT2O+3tqW633kbLd6GXNS4QtH02bzpeZ/gF2LQNnUfAGB59wzV89erSZ4Dkrj71/wIH4gq36jmCAeACk811/j59nzfFZfU9gMAkS+e5995OJTqLvvV41Ju5jMqdhxrRHXHXBuXe5QqVbTmjmj3nbxdefTi9ckM4vnxPQ6px8s5jzcgcxu+DsDxB/hMi4sZqts+v5BfhE2i+QyE1Cw+S8Diyl3eWb3VNjQk7lca++v/2lD9dBCvT+L+DlQvDVWviaAtvC0XngyieuMt/L6X/rx6/kt+5eXTF6pt02z684alLTV8B16Tz95s7LfkgiAIglCPqbNP4IIgCIJwLSzQwVIDI1pNPnuzkQ5cEARBsFvqcyY2GUIXBEEQBDukzj6BL9vQFQ4uLlZajxF7aezPp6MVzVJuw5jUlptzHMw8Xk/8M30XvEBjdZ48radnKv+Fl9+QG2scKlQzT9OPuEnoyKveVHc9wtO9nlzfVI2t4OUuCiyh+sVuvNnc0fQE1fN/VE1y7q25+a5Ap6aRBQD/vdwklp6kmtUAwP2CegzZcQWArNU83Se4RwzZY1Tjz7TmK2jsu0d6Uz1jHf/OsMPcrJd+l1p2Nxvmm76t91P9Qik3oKXPVVPGaq14m9VsHJOcX7hJyqDjx3zCE8sV7d0lw2jswvYLqf5kyqNUzz+qGuccS2zUZw43q3V7n7flc0/yFKunB6nttk9Xfh4O5rek+p1dDlH9xx1qGl0A0LmqbcWi59d9g7t4KubzxTy9bttQtSw77o6isXpn1dhnKf7zUqnWZxNbne3ABUEQBOFaWFDDVKp2/A7cfn96CIIgCEI9RjpwQRAEwW7R/t+Ffr2bVs0n8ISEBHTo0AGenp4IDAzE0KFDceTIbyvGlZeX48UXX0RcXBzc3d0RGhqKRx99FOfOWa8+aTKZMH78ePj7+8Pd3R2DBw/GmTM8r4UtpAMXBEEQ7JYrq5HVZKsOSUlJGDt2LLZv347ExERUVFSgb9++KCq67I0pLi7G7t278corr2D37t1Yvnw5jh49isGDB1vtZ8KECVixYgWWLVuGLVu2oLCwEAMHDoTZzJMFMeQduCAIgmC3/NkmtjVr1lj9e8GCBQgMDERycjK6d+8Oo9GIxMREq5g5c+bg9ttvx+nTpxEREYG8vDzMnz8fixcvRu/el42uS5YsQXh4ONavX49+/fpVqSx1tgMP3GWB3snaHb0tOorGermrjscLl7jDu09L7gw9XsDTZqY38FS0zv320djdX/B0p47l3Inbcjwvy4l/qK7t0/eG0Fh9Gt93zF3cRbvvtJqqM2ANd65WlHPLsfMZ7giPaptN9d3NCxQt5zxPMeoUyVM75jThaRyDdpZTXTcxS9Eycvh3ake4O9v1Av9lXrFNdTnPce5JYwsPcld9eWNe7ice+ZHqc7bfqWgFixvQ2G3+3Cld2oHPwECsWs+AZD4zwfkpnnr04jpeFnNH9dwDwP/i1DKW/ttEY6edvIfqTj8aqV58u3o/cD7uQiKBsz15uzpNZrYAwH9Wz6f6Q59PULTndjxIYy1P83aVlspT4EY258f83C/qtWzy4fs+uo/PenAK4vePI583UzRvGgnkxaj7sJTa3+Bufn6+1b8NBgMMBn5v/D15eXkAAF9ffq1fidHpdPD29gYAJCcno7y8HH379q2MCQ0NRWxsLLZu3VrlDtz+jrIgCIIg/D+1NYQeHh4Oo9FYuSUkJFzzuzVNw8SJE9G1a1fExvLpfqWlpXjppZcwYsQIeHldfojIzMyEs7MzfHysHwaCgoKQmcl/sDHq7BO4IAiCIFyL2kqlmp6eXtnBAqjS0/e4ceOwd+9ebNmyhf69vLwcDzzwACwWC+bOnXvN/WmaBp2u6nWRJ3BBEASh3uPl5WW1XasDHz9+PFatWoWNGzciLEx9JVReXo7hw4cjNTUViYmJVj8OgoODUVZWhpycHKvPZGVlISiIJ0ViSAcuCIIg2C1/tgtd0zSMGzcOy5cvx4YNGxAdrfolrnTex44dw/r16+HnZ53xr127dnBycrIyu2VkZGD//v3o0qVLlcsiQ+iCIAiC3XI9nfDVn68OY8eOxdKlS/HNN9/A09Oz8p210WiEq6srKioqcN9992H37t349ttvYTabK2N8fX3h7OwMo9GIUaNGYdKkSfDz84Ovry8mT56MuLi4Sld6VaizHXiZhwPMztYDBIHzubPcMkF1Lrue5VVLOtGO6hVuvByOxIy76VATGhs18CzV879S3aIAcDCHD5Vc6Km6vx/ru4HGJk7rTvUTedzRaixUHaMmb96Ag37gbvPcGB5vZInjAZTkEgdwBd9Hw0DuZD/vxp3ivlPTqF44VXVFu9zGT7L3Ce4Iz4/kbaiojRpffJLn1O7Vk+fvDzLkU33OTu5md3RV54b2nvALjV21rCvVXbfxY1hwm+raPhfMB+cc9vHZEF5deW77wgzu/D/+uWr48Ui2kb9fC6B6y7+kUt3zfdVxndmZu60H9dlB9cR0dc0AAJj8zFiqlz+krhtgMPB2VXqJO98tJn69OQfwY1vuodapLIR/Z+TX/Ho7a2NdA6/7zinape/5TANDtNqWzcV8RsGtwLx58wAA8fHxVvqCBQvw2GOP4cyZM1i1ahUAoE2bNlYxGzdurPzc+++/D71ej+HDh6OkpAS9evXCwoUL4ehoY8EBQp3twAVBEAThWvzZT+Caxn8MXiEqKuqaMQDg4uKCOXPmYM6cOdX6/t8jHbggCIJgt/zZHXhdQkxsgiAIgmCHyBO4IAiCYLdoqNmSoNce7K67SAcuCIIg2C31eQi9znbgOT1K4XCVabjwKHehO5eoLueS0Aoaq7Pwk+V1mDv/HMvU32dFNk74+Tw1bzoAlN7BHZlum7gLXeenfufytNY0NmCC6hYFgJYu3BG+cydx0PurLmQA8PzKiepxfY9Rfcl8nr/XjZjQo/7Ly31wCne62nIc7zkURfXQV1Q3e34mP8cmP+5+Lg3ibcjnF/W4lATzNrHjS37e4h/cSfWw1fySzG2klv37HdxtPvSJn6ie+C6Pt+xTT1BxA54L3TWK5zYPeNNGPv2uvD7FrVS3dEGsDedyGX/Td+Awz+/t8rDqCHfexa/NDZ91orqhmD+XFdnIsTGl3feK9v6KwSQSMJ7lbcUlhx/zsUP4DJTJF+5TNFtJvC48wVe48v6OzxLIPa1eh2YeirLj6h8spfyeciOozx24vAMXBEEQBDukzj6BC4IgCMK1qM9P4NKBC4IgCHZLfe7AZQhdEARBEOyQanXgCQkJ6NChAzw9PREYGIihQ4fiyJEjVjGapmH69OkIDQ2Fq6sr4uPjceDAgVottCAIgiAAgKbparzZK9UaQk9KSsLYsWPRoUMHVFRUYNq0aejbty8OHjwId/fL+X1nzZqF9957DwsXLkSTJk0wY8YM9OnTB0eOHIGnJ3eCMvzXG+DobO1svTSwkMYWFasOWOdL3HFsjlYdqgAQsIeXI3WI6nx39+b7MH7Bc01ntee/k1oMOkL140tUp3hZNs+1berFnbu709Xl7QCgwUbV6WoyEps4gHPDeT3T9/E864Me4s7qnz9tr2hHR/Oc2roK7sRNXaeu+AMADi1snItJqlO879JtNPY/53pQPehnft4KItQL/t6h3Pn95Q/c+b3mWAuqez6eQ3X9D/6KVhzKndKJ7/HvvHgbj/c4TW5g/rxdFV3g+eTTni2juitPNQ4tX837HRd7isYe3BlFdfd0fn7KfNT7TFEUn1EAF+7ORgXf95jO3BH+3krVce7FJ05Ac7Qx8/jRC1T+uZCvveCcot5vimL4eXDZx/Oslxl5UQrD1euwYWu+1sPZTepsALPpz+sUa2s9cHukWh34mjVrrP69YMECBAYGIjk5Gd27d4emaZg9ezamTZuGYcOGAQAWLVqEoKAgLF26FKNHj669kguCIAhCPaZG78Dz8vIAXF4iDQBSU1ORmZmJvn37VsYYDAb06NEDW7dupfswmUzIz8+32gRBEAShKvzZ64HXJa67A9c0DRMnTkTXrl0RG3t5acAra54GBVlnOwgKCqr829UkJCTAaDRWbuHhPDmDIAiCIFxNfX4Hft0d+Lhx47B371588cUXyt90V6UD0jRN0a4wdepU5OXlVW7p6enXWyRBEARBqDdc1zzw8ePHY9WqVdi8eTPCwn4zSwUHBwO4/CQeEvKbSSkrK0t5Kr+CwWCAwaCa0Eq9HeBosP594XiYm8TuGqiapw4FBdPYjET+hJ82hqcebfiRapLKmaqmgQSAPJLu8jLctNLF5wTVj+mbKpqh60Uam36Q19PiwU07bmfVeuY8xo1jlnRuOvSOzKP690diqa41U+uvD+XHu4EPf4Vy8Uwo1R3OcAPehY6q/t373KxWfgc/VvlRPJWs93H1eH13qiWN1SK5ya6CmLgAQEviJrGR49VUnVllPLflcjM3scXddpLqJ8+opkSfzfy45jblbdnBh7ch59683bb3VlPdJqdF0FiLu432Gc/biveX6nEpzuW3uvxWfN96d36NLzrKU6/6HlSPS3Egfz4qbMSNc9pZH6r/71hHqruRU+G7g7fZgmh+3nxbc+Ocj169Jo6f4vfwBneoo6sVRTbS4t4AZB54FdE0DePGjcPy5cuxYcMGREdbO4Ojo6MRHByMxMTESq2srAxJSUno0qVL7ZRYEARBEP6f+jyEXq0n8LFjx2Lp0qX45ptv4OnpWfle22g0wtXVFTqdDhMmTMDMmTMRExODmJgYzJw5E25ubhgxYsQNqYAgCIJQf9Fq+ARebzrwefPmAQDi4+Ot9AULFuCxxx4DALzwwgsoKSnBmDFjkJOTg44dO2LdunXVmgMuCIIgCMIfU60OXNOuvfS5TqfD9OnTMX369OstkyAIgiBUCQ1AFbqmP/y8vSKLmQiCIAh2iwU66CQTW91CX6rB0WL928jxHI9N/LaDokV+V0BjfcJtOECPqU54ACgMU09uwW41vSoAlAdxR6v/bt5APk/rT3X3Iaqr83wKd4DqbBjfvQ5wl7NDsercLTvA07Q2WsMd1LlNuFtW14yXxUjM9gUmdxqbs43PNHAp4L+TnQr5sb14h5pSckH8ZzT28R9HUd3RhpG2OED1fhYe5cfEcImXz5jF61MYyb/z8w/VtqLnRn6YevB0mvt38XS0lgi13XZqz9P8XnqWzwYYtHgz1ZeP70v1gx3U1LBaM37AB3XgeY699KVUL5msOrF/WMnd482j+U3l2E5+IoqM3OVtcFfPs4ON7K1z+y2k+pgtD1PdtQFPIW3JUvOgBj3I09Hm/8LrU7YqgOoFfYjDv4K3Zd0n6j505fzcCLVLne3ABUEQBOFa1NRJXm9MbIIgCIJQl7BoOuhkHrggCIIgCPaCPIELgiAIdoum1dCFbsc2dOnABUEQBLtF3oHXQUr9dHA0WB9Yt248b+/wsIOK1uvRAzR28qG/UD1gHHfuHpwaqGgvdlXzUgPArJ39qJ7blDvce/Xj7tptC25TtJCz3NLqMeEM1U9d4q7oSxd8FU1fzBtwdix32+fGcrd9ZFO+4lzznucVbc0Bnjvc+Sh3z2e349/ps5e/BXIkua8fX/skjfUI4S5fl1B+zEs3qw5qOPCf8WX8NKDHMH7u7/A6RvUfsuMULXU2t/0Hr+eXdcDoNKp38klVtI0XmtDYoDlnqT7/nwOpXvjXIqr3bbRf0fZe4g735FntqF7hwtttVk/1WjbE8VkppxKjqO5zB7/XNPbmud2P7VDPhfdf+LX5zE/cbW5w5/eg0mJ+TbgRo/eRPTyffMRG3pajph+merlFnd5y3JW0ewAZXVTdUqoDVtFwoRapsx24IAiCIFwLeQIXBEEQBDukPrvQpQMXBEEQ7Jb6bGKTaWSCIAiCUEUSEhLQoUMHeHp6IjAwEEOHDsWRI9aZCzVNw/Tp0xEaGgpXV1fEx8fjwAFrX5bJZML48ePh7+8Pd3d3DB48GGfOcN+ELaQDFwRBEOyWy0/gNVkPvHrfl5SUhLFjx2L79u1ITExERUUF+vbti6Ki3wybs2bNwnvvvYcPP/wQO3fuRHBwMPr06YOCgt/MlBMmTMCKFSuwbNkybNmyBYWFhRg4cCDMZp7um6HTqrLE2J9Ifn4+jEYj4p54A47OLlZ/y23Ki+pxWv0dUtEtj8aaD3hRXR9Lcv8CcExS8w3nt+JuUVts7TOb6r0+eYHqxpOq47p4OK9PwWlen4hmqvMbAM7tClE0l2z+DqgkiB9vW6+MdDZaksVZ/UNoEg8uDuS/Kb+Z9jbVu30/kZelXC3kkWFzaeztCeP5vh/bSfW9r7RRtKzbeI5sHTfP4677tlN9+c72VA/9Ua2PYzk/hufu4AnyvU7ysuS0L1dj93Hnc35rnq/c9SSfaeF3gN+MchupZXTqlk1jAz34LIFLi7jjOo8Y6Mv8bNwU9TZOkNlG3m9Xvh/fn9T6tx61j8ZuSGnB911m48Kysd5B1ArVWZ7ThJ8HTxuzWArC+VtUC5Hzm/J9OF9UC2gpLcXJGdOQl5cHLy9+j6opV/qKxounwtHN5dofsIG5uBTHH0m47rJeuHABgYGBSEpKQvfu3aFpGkJDQzFhwgS8+OKLAC4/bQcFBeGtt97C6NGjkZeXh4CAACxevBj3338/AODcuXMIDw/H999/j379+Iymq5EncEEQBKHek5+fb7WZTDZWM7qKvLzLD1e+vpen6KampiIzMxN9+/62kI/BYECPHj2wdetWAEBycjLKy8utYkJDQxEbG1sZUxWkAxcEQRDsFq0WNgAIDw+H0Wis3BISEq793ZqGiRMnomvXroiNjQUAZGZezocRFGS9gmRQUFDl3zIzM+Hs7AwfHx+bMVVBXOiCIAiC3VJb88DT09OthtANBv464veMGzcOe/fuxZYtW5S/6XTWZdI0TdHUslw75vfIE7ggCIJQ7/Hy8rLartWBjx8/HqtWrcLGjRsRFhZWqQcHBwOA8iSdlZVV+VQeHByMsrIy5OTk2IypCtKBC4IgCPZLbY2hV/XrNA3jxo3D8uXLsWHDBkRHR1v9PTo6GsHBwUhMTKzUysrKkJSUhC5dugAA2rVrBycnJ6uYjIwM7N+/vzKmKtTdIXRyYB2CSfJfAIVQHYiWHJ7HOyyFu04Ls1S3OQCYmGzDoQpH3hJGp95HdX37HKpbTnsr2qetP6exswP6Uv30+zyXtSFKLfuMpxfS2Hcm85zNruf5eTg1kdc/8Ct3RWv8opq/HgB+WaXm/AaAf2T2obpjIf8N6kT0uPnjaKwxn5f7221qTnoAWDb3Q0X76wfP0diQwaeonpjelOquZ/klaTao7fb87bzuM4cspfrbb46gOruBGVO54zjkZz4D48Jt3LV+pj+/3jwPqc5lP/diGnsunzuDbaRCR0A7dQZGxmF1TQMA8DzJj/eYZ1ZS/X9P23AHm0sUqaCCP8G5neLf6XKJt0OnITwvu2myemy7+afT2MPjufP9/O3c4u5JZiw0bcrz4OdFqfdfc1HVDGC1Qg2H0G1Oq7HB2LFjsXTpUnzzzTfw9PSsfNI2Go1wdXWFTqfDhAkTMHPmTMTExCAmJgYzZ86Em5sbRowYURk7atQoTJo0CX5+fvD19cXkyZMRFxeH3r17V7ksdbcDFwRBEIRr8GdnYps3bx4AID4+3kpfsGABHnvsMQDACy+8gJKSEowZMwY5OTno2LEj1q1bB09Pz8r4999/H3q9HsOHD0dJSQl69eqFhQsXwtHRxrxBgnTggiAIglBFqpI6RafTYfr06Zg+fbrNGBcXF8yZMwdz5sy57rJIBy4IgiDYLbIamSAIgiDYI5qu2u+xlc/bKXU2lWrY3OlwcLU2R+gK+buBsKZZimb5hJtW8qP4Pkw+/DBEdVZNIcf3hZFIQB/CTThl+dzM4ppmI/0mKUp5XJEqAtAfVA1iAFDuwetTYVRTQTZszBMHhLjx9LI/H2lE9cgGPBVm+oFgRfM6wQ1Ypnj+nbZ+JZde5GZFJ2/VRGM5x2Pdz/CyFHfg5zOKZGQ9/gg/l46eappSALBc5G3C5wAvi2u2aliylaY1o7ONfTTm6XgrKkgqzKMeNLbMl6cSjWrMU/eeT2pAdZZe1/cgb7NFQbw+JZ15ilXttHpNmIO4qUrnwL/TfQ9vK379uZGrsddFRdv3T27I9DqpGt4AIL8h/84KV9728xurmvEoDUVhf36sykr5M1zIStWUWPbEJRqbfcxP0SylpTj94t/+lFSqUfNfgUMNUqlaikuRNuofN7SsNwp5AhcEQRDslvq8nKh04IIgCIL9ch1zuZXP2ymSyEUQBEEQ7BB5AhcEQRDsFnGhC4IgCIK9YsfD4DWhznbgjs5mOBisHa+uh3m6xvzjIYqmU43PAICowSRHIID9aaFUP3pU1f0O8F9sl3RuVLdhdEVs/yNULxirOuh1fbiDOHcld67mNOVvR/xTVP3iEe6qtxzkaTObZXBH6/kZ3FmtD1Xd3IZkfqxyL3Dd3Ub6Sdf23LXutUJ1UWe34udNx7OGws2NO5enLPxK0T7PuoPGnvxnM6p7jz5N9UuNef3PZngr2viOG2jsh0k87aznMu6wveeVREX7JJWn6HXJ4OfhTB6/fiqieRsKXVv1W49TIb+AHo79merrAtS0oYVl/N6h/8Sf6pl/4TMQLvzIXfWZLqru6snLXRLMHdMXB/AUxZ5beZswEFP43c8l0diNr/L2eTGWnwdHk3pROC30pbH+JKetuUwH3sKF2qTOduCCIAiCcC1kCF0QBEEQ7JF67EKXDlwQBEGwY3T/v9Xk8/aJTCMTBEEQBDtEnsAFQRAE+0WG0OseFosOMFsPbRQH8+TPjqXqEEiFF4/VL4zmelNejrv77FS0tedvp7ENV3LXcpkXP8xH0viXFvxVzTfdYA53EGfczS3UgZt5bm7TgzmKVrFNzWUMAGZXPkCjzS7g+leRVLdEqFfIxbt5Pujgb7lD1/FRnq/97EnuIvYio2IsDzwAOLXMpbpBz4/tc0v+qmhaC35M3Lz58FyUB88rnfG/KKrHP7pP0T5e1Y/G6tz4Hcklh9cnOU89bxU+PNb9jI12FWQjMXsZb0Pn+pL9O/JyB2ziDvKPU7pT3fGM2obKvfm5bz0hjerntzak+m1D9vP4YvX6zFvAZ3dcasbXY7in2a9Uz2/Mr4mfl7dVtec60tjCiXwWi3Miv/bfnvORoj3+yXM0Nm7gYUUrLyrDnmU0vPapxx24DKELgiAIgh1SZ5/ABUEQBOGa1OPlRKUDFwRBEOyW+rwamQyhC4IgCIIdIk/ggiAIgv1Sj01sdbYD14r00CzWxTMe5wMGLz73haIt+gt36Ka9wl20eh0/iwXlqgPUiRuOkTOR5wjPOeVD9Ygm56ge+A81/vhI7lz1DuDfeaGdN9WbeaqFPxzKYx13c2dxE68sqh9pxfNEu5E85pbDPL9z9ylbqf7VAdVxCwBeR3kTzmukav/qPZ/GTvlQdZUDQG4obxNO5armvk7NvQ4A2e25+3nD97dRveIO7s6PcFVd67uz+Ls7j3O83Ge787bfzFnN+z2163c09n3vXlS/txF3Z//0LndFZ3VSy64v4te3yYfXM77xMarv2RKnaJ1G7aWxB15vRfUWk/maCT+fIA0LgIurmvPd8T7u/A7+J2/737RWyw0AnSLTqG4ht4QTD/DrIT6Q32t+7sId7g+uGK9oxhzerg59peb7N5t4XvcbQj1+By5D6IIgCIJgh9TZJ3BBEARBuBY67fJWk8/bK9KBC4IgCPaLvAMXBEEQBDukHr8Dr1YHPm/ePMybNw9paWkAgJYtW+Lvf/87+vfvDwDQNA2vvfYaPvnkE+Tk5KBjx4746KOP0LJly2oXLDgyG3p3g5VmbMaNEasutlG0EyO4cUzj3hSEbeSpI09qqkGjbBR3sRVme1Ld8xg3oJ1yDqC6w2i1LO5u3NzkuIrXE634z8rD+8IVzTWTly+3Mdd/WN+e6p42TFXumaoZbuprn9PYV+Y+RvX7H91C9S8KOlHdxV89Xu/9ZTiNLZjA25X+rIHqFe7qsQ1+OI3GZp/gxj4H3tygP+5K9S+P9FDLEcLPcUkgPw/lfvxL12xrrWiFHXj60rgQboZafrAN1We9upTqbx/vq2hlFby9+a/mx+TwuViq3/e3DYr276R4Gjv3/YVUf3bnA1T3/ombvoIeOK9oqZuiaOzJh1TDGwC4p3AjpGOUjfPcQD2fi/p+QmNfH/UE1Z068fo0TMxXtPxGvHwZ7VVXp6WE11GoXaplYgsLC8Obb76JXbt2YdeuXbjzzjsxZMgQHDhwAAAwa9YsvPfee/jwww+xc+dOBAcHo0+fPigosGHbFgRBEISaoNXCZqdUqwMfNGgQ7r77bjRp0gRNmjTBG2+8AQ8PD2zfvh2apmH27NmYNm0ahg0bhtjYWCxatAjFxcVYupT/ChcEQRCEGiEdePUxm81YtmwZioqK0LlzZ6SmpiIzMxN9+/42NGYwGNCjRw9s3crn9gKAyWRCfn6+1SYIgiAIwh9T7Q5837598PDwgMFgwNNPP40VK1agRYsWyMy8vNxjUFCQVXxQUFDl3xgJCQkwGo2VW3i4+o5WEARBECjyBF51mjZtipSUFGzfvh3PPPMMRo4ciYMHD1b+XaezNtBomqZov2fq1KnIy8ur3NLT06tbJEEQBKG+csWFXpPNTtFpWs3WYunduzcaNWqEF198EY0aNcLu3bvRtu1vaS+HDBkCb29vLFq0qEr7y8/Pv/wk/vY/4OBq7ZB0D+NmuNIjRkWzOPNq6RuoaSMBwPVn7rB0v1sdPbDYOOHZee5UD/kPd3o+/vZKqr9/WE1Xad7G3eblt/FUqg6HbNTnjHpcihrw+rTsfZTqyQcaUr1xTAbVCxaoTuycZvw7HSq47tJWTSUKAM39VfevLXbsaMr/EGiisqWMu6IN6apD2+zK25vxCP/KkiBezzJvvp/mHVMVbd+hCBqrc+Nuc2/vIqoX7/FTNFMD7iKOjLhI9VPHA6muz+fH0BKmOv+1S9z5rrnxdLTOnryMrO0759BQFNtIl9uuKz9xxxfwNuR0r5peuPwrfkxKA2ykwE3nqYs9T/P2eeJ+9XjpC/kzWbmRH0NbqYhds9SyXLiLl8P1gDpLwGwqxdH3XkZeXh68vLzo52rKb33FDKWvqA6WklKkT/lbtcq6efNmvP3220hOTkZGRgZWrFiBoUOHVv69sLAQL730ElauXIns7GxERUXh2WefxTPPPFMZYzKZMHnyZHzxxRcoKSlBr169MHfuXISFhVW57DVOpappGkwmE6KjoxEcHIzExMTKv5WVlSEpKQldunSp6dcIgiAIgsKVTGw12apLUVERWrdujQ8//JD+/fnnn8eaNWuwZMkSHDp0CM8//zzGjx+Pb775pjJmwoQJWLFiBZYtW4YtW7agsLAQAwcOhNnMf2wxqjUP/OWXX0b//v0RHh6OgoICLFu2DJs2bcKaNWug0+kwYcIEzJw5EzExMYiJicHMmTPh5uaGESNGVOdrBEEQBKFq3IRMbP3796/Mf8LYtm0bRo4cifj4eADAU089hX/961/YtWsXhgwZgry8PMyfPx+LFy9G7969AQBLlixBeHg41q9fj379+GJcV1OtDvz8+fN45JFHkJGRAaPRiFatWmHNmjXo06cPAOCFF15ASUkJxowZU5nIZd26dfD05AlOBEEQBKEucPUMKIPBAIOBJ3O6Fl27dsWqVavwxBNPIDQ0FJs2bcLRo0fxwQcfAACSk5NRXl5uNWsrNDQUsbGx2Lp1643pwOfP58sxXkGn02H69OmYPn16dXYrCIIgCDeVq2dAvfrqq9fdl/3zn//EX//6V4SFhUGv18PBwQH//ve/0bVrVwBAZmYmnJ2d4eNj7W261qytq5Fc6IIgCILdokMNVyP7//+mp6dbmdiu9+kbuNyBb9++HatWrUJkZCQ2b96MMWPGICQkpHLInHGtWVtXU2c7cPdTjnA0WDtYC1y4y9vvhKqV9ueO9QbGPKqfceeu7fwfgxXN2Iv/QvJw4y5N0zPc+f762mFUd7moeguffGQNjd2VF0n1vbubUz3sETUZ/MUSflx3pzSiuts57izO2cndk09N+0bRZh+4k8aa0vl5CHuP58PeNpKXseES9Yp2HcfbRPkh7jz1tuEgzx2gOv+d9dx4Etoxm+rpud5UN37B9YMOUYqWMOi/NPblbbxdGb7gMxkGvZSkaMv/o+ZeB4D8QH5Tc83gt5KScDVPNgC4HlbPp6UVPz/uP/I2cc9Ynh//y1/UtpXflDvz/XfytvxLcBTVBz+zk+qOUF3by7vw423w5PcJcxav54m/2pixoVf34x3NZxqYEvm6C/mtuJO/+KKTum8beeD97z+taBVFJhx9j4bXPrW0mImXl1etOOZLSkrw8ssvY8WKFRgwYAAAoFWrVkhJScE777yD3r17Izg4GGVlZcjJybF6Cs/KyqqW6bvGLnRBEARBEC5TXl6O8vJyODhYd6+Ojo6wWC7/0GvXrh2cnJysZm1lZGRg//791erA6+wTuCAIgiBck5vgQi8sLMTx48cr/52amoqUlBT4+voiIiICPXr0wJQpU+Dq6orIyEgkJSXh888/x3vvXR6WMBqNGDVqFCZNmgQ/Pz/4+vpi8uTJiIuL+8Mh9quRDlwQBEGwX25CB75r1y707Nmz8t8TJ04EAIwcORILFy7EsmXLMHXqVDz00EO4dOkSIiMj8cYbb+Dpp5+u/Mz7778PvV6P4cOHVyZyWbhwIRwd+WsdhnTggiAIglAN4uPj8UdJTIODg7FgwYI/3IeLiwvmzJmDOXPmXHc5pAMXBEEQ7Jbrzab2+8/bK3W2Ay9sXAEHV2vn6KvdVDczAPxro+q6zStVXZQA0DSC584OG5JL9X0fx/1BKa0xbVNzSgNAblPuOtXZyJjnel5tUf+b2ZdEAs+9yp3IvwTwnM2Htqh5zB3KuYMz+DDPzfzU9K+o/vm4QVR/a5ealMBjF3eVuxXzq6k4iLufQ0PVHNQAUDBJHYaKcOMO3axU7jwtGsqXtu0TflzRdsy7jcZeLOJJjPIGcPevJYT7Sr2PqMfltYIHaazWgDu/vfflUn3Jhm7qPiJt5M5ez9u46fYSqnvs5ee5sIlaf28DL3ehjdTQi9b0pHpFC3Jsbdykx7+4nOrvfDKc6uvcm1G9wWz1VupwL7+9Wi7we1OFm411AI5x97fJT70+x9z2PY390q091fNPhFKdrSVREsjbZlOjek8tcyzHJhp9A7gJQ+h1BXGhC4IgCIIdUmefwAVBEAThmtTjJ3DpwAVBEAS7pT6/A5chdEEQBEGwQ+QJXBAEQbBfaimVqj2i0/5oMttNID8/H0ajEW0feAOOztbuy3KeshuFJB14RQh3+fpuca5WeZyK1MOT1YHHDu3xC9U3ftqR6oURfD/uZ9QGld+YO8LdorlTWmdjXEjbouZnjhyYSmMP7+J51oO3832f7cPLGLZGHeix2PjpWOrLB4X8h6dTPf/f3KLsu+2cohXGqnntASCrHS+MrVkCJY3UWQXG3dwlX+rP92Ex8GNYEczbLfJU5/Jfum+noenFPAd35ms8b/xDH3yraG+tuIfG2pqx4MyXGIDLJV7PHJKqv8KTH3BbedbvHJxMdXeSI3zdpzw9ZVEYL5/7WV5P9/O8jBld1XiPVN6W/Q7YmJXCLx9kduRtq+2gg4p2ZkYMjc2L5s53x1Jef8+zau749N48wUjAblUzl5ci+cu/IS8vr1byizOu9BXR02fCwYU79auCpbQUqdNfvqFlvVHIE7ggCIJgt8g7cEEQBEEQ7Ap5AhcEQRDsF5lGJgiCIAh2SA2H0KUDvwFY7r0EnZu1ecN9Pjfn5DdS3wToM7lZTT/sAtVtmb7OH1NdSIE7uMHlQmcPqjOTHWDbaNe0h2oq27W9Cd/3JTe+cxvGSvcuqtvoxIZoGmtpyM02OTHcVGPcz00uT7+ppns9V+5NYxctUdOuAkD6Bu74K+3MTUUxz+Yqmmkqd5R1H7CP6hUWXp+ta1opmvlO9fsAwOsbI9WbPHWI6rsSW1DdsZTEZvNjklvCDT2RfztF9dVZrRWtwpM7qpzy+Vu3dsP3U33rj7FU799rlxr7L57uM7szv042fNOO6n4H1TYRN4WX78jcllS/0IcccACOSbztu0aoZtJCf34PGvbEDqr/b2k81d3uuEj1nenq+Q99nqcWzjvHU+A6XOBlLAlUTW9j7lpDY3d1Vm9w5UVlSP6Shgu1SJ3twAVBEAThmsgQuiAIgiDYIfW4AxcXuiAIgiDYIfIELgiCINgtMg9cEARBEAS7os4+gRebnODoaO2EdKvgP5XMfuWqVmojJadbEdUzlkZR3XvgJUXLLvGlsbszwqnucoFbwkuj1HSFALDjgJry8qFeP9PYpZt5ikh4q8cEAAI8CxUtLcKVxjYJP0/1Y7pAqreNOUn1hM/uVzT3DH4ugx49Q3VbnDzFy/Lrf1X3s+PEbBqb/Xlbqpd58u8sbULc+TZmA4RvyeTlGxJK9Sbx/Bju36s6fZ0cuAPf08Bd2yl7eCrVJnFqmtpWrdJo7InVfB/nno2ievnD3M2+L0et/5PPr6Kx764eTHWH23j+1jNhas7lds7FNLYolF+bjefxY5vel8f7fKk2ls7P89kN50x8ZoJLto30xyu4g9xgVMtyqjW/pdu6lku+akD1s/FEM3nT2F0/NVM0Syl38Qu1S53twAVBEAThmtRjE5t04IIgCILdUp/fgUsHLgiCINg3dtwJ1wQxsQmCIAiCHSJP4IIgCIL9Iu/A6x5lJj0crnKhl/rw3NSNPlfd3Bae4hfnwviC7dte/SfV23zynKK98iBP8jtjzwCqu/OU4jCu485ljYyLfOnFndKuGfyYwIbuF6268J0W8Bzzry3+hurPLh5H9V/38Tze5R1U5/sFE296Y8O2Uv2N//2F6k4xfFZBhavaAArSvWksmnDH8T/6fUX192cNV7RyD+5OPvsOz0tenMbb4f4CHt9sjpoP2zSXn+MeQceo/vUG7nxPP6863F2z+F3No5i7yo8+xXOE++7kg3xnStWy7PXmsziMR6mMfI0fQ9ay9rx6G431HMvd2bq3TlA90P92qrufyFW0lI/VnPkAcNszKVTPbc6PeftO/ACceS9G0dyy+I2v+BGuZ3Tlbeiu7rsVzcHGy2KnfLXtm002FmO4AdTnd+AyhC4IgiAIdkidfQIXBEEQhGsiQ+iCIAiCYH/IELogCIIgCHaFPIELgiAI9osModc9jEmucHS2duReuJPneHZYRxzH4XxwQdvO8wq3yH+K6gMG7VS0V7cMpbEeR7nTM7cdL7etsZtGi1Q9tzl3rHuf4K5gaHzfx5Y3UUOn5NDYCa+MpXrxvflUNx3jruDAr9WyW2y0vA987qS6+zkenxPKj7krSX1tuMAdty6qwRsAMCPkbqqHpKt55lOH8fbWv0Eq1dNG8fNpbsRzU2f0DlK0pq6Haezn23l+fH8bzvIyL9UxnN2J59L33sOPd9BGfkKdbLjWS/qoswd+SOaubedoKttcY8DvrrOKlhbkT2M9NqjHFQAuvsVz7Nsabo2eoDa42zzVHPMAsPlbPqPEHM2nq+z4tTHVvR9Vc8F7u5XQ2Pz/8RkITn0LqB7uoq4BMf/b3jT2nr+oM0dMheU49g4Nr33qcQcuQ+iCIAiCYIdIBy4IgiDYLVdMbDXZqsvmzZsxaNAghIaGQqfTYeXKlUrMoUOHMHjwYBiNRnh6eqJTp044ffp05d9NJhPGjx8Pf39/uLu7Y/DgwThzpnqrMUoHLgiCINgvWi1s1aSoqAitW7fGhx9+SP9+4sQJdO3aFc2aNcOmTZvw66+/4pVXXoGLy2+vhSdMmIAVK1Zg2bJl2LJlCwoLCzFw4ECYzTyxFKPOvgMXBEEQhGtSS+/A8/OtvT0GgwEGA88w2L9/f/Tv39/mLqdNm4a7774bs2bNqtQaNmxY+f95eXmYP38+Fi9ejN69L3sLlixZgvDwcKxfvx79+vWrUtHrbAee08oCB1drA8xdLQ/Q2PWZqimkwpWbZzR3Ne0qANzZmKef/H5TO0XTGXhrKQrnv5xaNlRNNQDQ1JOncVz+iJr2scm/eMpQJHADmpMjL0t2lmrmKTvDzWfmCD5AU3rak+qNV/AyZt3moWgV7jQUof/gF0ybf22j+uZZnah+oZ16/gf23EVjt83uQPWKnbyeZ7ur59/ZhhFu71utqX5+Cj+2OhuexOiOpxXtyNJmNNab7wL3PZ9I9ZUJvRStoIQb/pa/MIvq/baNofqgmP1UX/s/9by1vZtfg+kLuYmrKITK8DGohrKLh3i7cuBePdzZM4XqiTu50e5cvnoNlb3NC6h15t9pC30+PxeWo76KdtHGHT3sl1yqxzzFj/k3b6htQteS73vjB2qFzGWlAHgq5rpKeLh1Kt9XX30V06dPr/Z+LBYLvvvuO7zwwgvo168f9uzZg+joaEydOhVDhw4FACQnJ6O8vBx9+/at/FxoaChiY2OxdevWKnfgMoQuCIIg2C219Q48PT0deXl5ldvUqVOvqzxZWVkoLCzEm2++ibvuugvr1q3DPffcg2HDhiEpKQkAkJmZCWdnZ/j4WK9DERQUhMzMzCp/V519AhcEQRCEa1JLQ+heXl7w8uKjkdXBYrk8jDZkyBA8//zzAIA2bdpg69at+Pjjj9GjRw/bRdE06HRVXwhGnsAFQRAEoZbw9/eHXq9HixbWqzM2b9680oUeHByMsrIy5ORYvwLNyspCUBDPTcCQDlwQBEGwW27GNLI/wtnZGR06dMCRI0es9KNHjyIy8vLSve3atYOTkxMSE3/zpWRkZGD//v3o0oUnYmLIELogCIJgv9yETGyFhYU4fvx45b9TU1ORkpICX19fREREYMqUKbj//vvRvXt39OzZE2vWrMHq1auxadMmAIDRaMSoUaMwadIk+Pn5wdfXF5MnT0ZcXFylK70q6DTNRs7NKpCQkICXX34Zzz33HGbPng3g8hj+a6+9hk8++QQ5OTno2LEjPvroI7RsacPCeBX5+fkwGo0ImzsdDq7WqVR1em7RdTqtOkzNLrxatpzIa1ffTnWTv+rm1hfaGLiIJPk7AVSY+O8kvQu3wP6tzfeK9u6/htPYmGFHqX763zFUv9BRrY/rWV6+kihevhndl1P9jc/vp3pQvOrCb+iZTWM3HefldjztQvVyX+62d/Un52IPf78V0esU1dPXR1K9NFBth17HeJuIe5i7sHd9H0t1ZzU7JgAgr42ajtfW7IacUleqX0zmQ3NB7YlpZm4AjfU4lkv1Z1dxx/HElL9QveSSWsboL/n13eNdPgMh8R/dqF7qo56LS914mlKPX3m7crnzAtW1r3hK1rIhuYpWdMJIY83uvJ4OHvx6c93Pz2dxA7XtRzTlM1vK/x1M9XO9+PUTGqlen1m/8vbzxj1L1bIVmDHqthTk5eXVyntlxpW+ovnYmXA08PNYFcymUhz66OVqlXXTpk3o2bOnoo8cORILFy4EAHz22WdISEjAmTNn0LRpU7z22msYMmRIZWxpaSmmTJmCpUuXoqSkBL169cLcuXMVN/wfcd1P4Dt37sQnn3yCVq2sp1XMmjUL7733HhYuXIgmTZpgxowZ6NOnD44cOQJPTz4tRxAEQRCui5vwBB4fH49rPfs+8cQTeOKJJ2z+3cXFBXPmzMGcOXOqX4D/57regRcWFuKhhx7Cp59+amWD1zQNs2fPxrRp0zBs2DDExsZi0aJFKC4uxtKl6q80QRAEQagJulrY7JXr6sDHjh2LAQMGKGP1qampyMzMtJqcbjAY0KNHD2zdqq5YA1zOB5ufn2+1CYIgCILwx1R7CH3ZsmXYvXs3du5Ul9m8MgH9aht8UFAQTp3i7xkTEhLw2muvVbcYgiAIgiDLiVaV9PR0PPfcc1iyZIlVUvaruXoi+h9NTp86dapV9pv0dL6GriAIgiBcTV2bRvZnUq0n8OTkZGRlZaFdu9/yg5vNZmzevBkffvhh5by3zMxMhIT8lgf4jyan20oYr9NbFNe5+z7+o8G5u5qI2lTuRGO/2a3mTQcAN25ShWOR+hvHKY//GIl46iTVu/2cRfWkC9xxPX39vYrm3LmAxu4+GUF1T18bb3ZcVddpSSPuijWc4cfw1V2DqR69uYTqpzxDFS33dAMa2//xZKonpqr54QFA58JdtCVZboqW8OgXNHZOquomBQAH1fgNAPA6rraJCm4URvprTak+NGEL/04bd5PzJtUdG+DM28T6Iv6d7jZ+Gwd2V/eT7sVdy92XHqL6S/8cRfXHn1pL9f+901fR3P6WRmNjXfkSi8ta8hzhpkC1TTid4rnQO9+/h+qJ23nOc7cgfl0ZXdQbSOAqflPJi7Lx8DOcr2twqRVvE4HehYp2Ko3PHoifyNeRKMwMo3rpcvV+HZrBr7W3Wqh5u83FJgApNL7WkSfwqtGrVy/s27cPKSkplVv79u3x0EMPISUlBQ0bNkRwcLDV5PSysjIkJSVVa3K6IAiCIAh/TLWewD09PREbaz1/1d3dHX5+fpX6hAkTMHPmTMTExCAmJgYzZ86Em5sbRowYUXulFgRBEIQr2PFTdE2o9UxsL7zwAkpKSjBmzJjKRC7r1q2TOeCCIAhCrVPT99j15h0440pquCvodDpMnz79utZRFQRBEAShakgudEEQBMF+qccmtjrbgTtkGeDgYu0ctdgoLXOcl5Vxh6r+Et+Jow0Xut8+9ewW23Cinnoujuv/4/sO3M1zH49+c4OiJV3kjvWju3i+bo9+fFF45y9Vd6nJh9enojNPquO2lecLzmnCrwRzg1JFa9CJl2/dCe6g9mzDc6dr3/lR3YEc2mkmG7nat1MZJR1s5KwuU4/X3f3UvAgAEOWizpAAgP+825/ql2L5MdT0qr5y8Ac09uujbajuM5jn905JV53IbgG8Taw905zqtlz4X76rus0BIK+fmqs+2MZY5gdTHqC6cxT/Ts/bLynajH4raezT3/NUl3oy+wQAgnbyG8WlAtW1f+5hfn07uqnXAwAYfuYOcoONDqa0SJ1p0Wgf3/cWj0ZUn9DmR6rPd1BNx2VOFTT20hlfRbOU8HLcCOrzELosJyoIgiAIdkidfQIXBEEQhGsiQ+iCIAiCYH/IELogCIIgCHaFPIELgiAI9osModc9nHN1cDRYO2Er2qi5fwHA+I3qijaW8LNS2IC7a7UePA/x+QseihaaSAIBlDzM95FfoLpFAcCrdwbVP13TW9E8U3m52zx4lOp7djamupu/uh+zMw1FxXGefMctnx/bnJZctxSqswRO/hjNY43c+X1v3x1U33I/d9ce+0V15/ul8GOY0ZPneAYvCryOqzMcks7w472uvBnVTTbyWwc04a71rOOq237kOxNprEc/vo/zZ3yo7lig1sdwJ9+HfqnqOAaA4i78GDrYmMnwaEM1B/mSFXfSWG8PfiJMvCgwb1bd3BO2/ZUHN+aucrdjPHf6xTiu/+UJdebI0v/y+pQ25cfKLZO3iZKB/BjmZ6j3pu6P7qOxXsXeVF/49kCqdxqjnp/jz/EZIvogsjZAuQN4BvsbgHTggiAIgmB/yDtwQRAEQRDsCnkCFwRBEOwXGUIXBEEQBPtDp2nQadffC9fkszebOtuBu2VqcHS+6sBmutNYlmLVkMvT/pV5qIYqAHBeaqR66NPpinY+kJu7Co5xk1AQ91+h/Ch34ZjHqSkYi8LLaOz+jBCqN0jixp+CBupbE+Ngntb03JFAqmsO3AymM3PdkKWeIONxXr7MHlz/7lxLqucV8xye7mfUslic+IXq/wtPu2vI42W50FbVugSdpbGnC3mbaBieSvXUF7lRSBei1ieXZ9eFKdvGyn8Wfn58mqqpR2N8eNrV4tF5VM+7wNOAmnfw+ie921nRIqefprH979tP9QX/vpvq+bHqtdK52Qkau+NkFNWj7uPx+06HUn3p/1TDmsZvNXA97EL13N5qelkAqMji9z2XC2q73ZbJzaFDIvZS/UBDbr7c/pnayAsG01AE7lavKwt4WxNqlzrbgQuCIAjCNZEhdEEQBEGwP8SFLgiCIAiCXSFP4IIgCIL9IkPogiAIgmB/1Och9DrbgbcetRfOHtY5Pn/+mth/ARRFq47z0Ed5Ir/0s8FU9/cpoPqpzWpKTgeefRGNenMXbcHOMKpfbMud700/Vsty5CkbbuuT3OpaFMRbpfcJ1aF7Lk9NyQgAT/bcSPXPKnpSXRdSSvWycvVNzXk/Xm73NN4kc0/x8+Z9gjvFs9qr9fc5SEMRsJG3lTMf8OPi46zOEtj0K0+ZqnPhaTPPuHhT3T/AxnHJVM9bZg9+rDz283SfFbw60G1T07Ru78Dd455hPK2ny4/c+Z7Tis8GybhDbc9FNs5xwaf8+nFQi30Z0t72rWhOQ42F/Do5kNGQ6j48czGc7j2vaLk7gmhsdF8+A+HkRV4h51M8FXO5US17QTE/9ys/4Nesh40eoPnIQ4qWsqoFjY2dnKJoZYVl2LWc71uoPepsBy4IgiAI10SG0AVBEATB/pAhdEEQBEGwR+rxE7hMIxMEQRCEarB582YMGjQIoaGh0Ol0WLlypc3Y0aNHQ6fTYfbs2Va6yWTC+PHj4e/vD3d3dwwePBhnzlRvEVbpwAVBEAS75sow+vVs10NRURFat26NDz/88A/jVq5ciR07diA0VE3BO2HCBKxYsQLLli3Dli1bUFhYiIEDB8Js5sZXRp0dQk8+HwHHAmtHpak1zxXcPCRL0Y5u4i5SQxzP5ezhzHONF7bOVTTfz7idt9Gwi1T/IZ7nT7aFzqI6ervFHaCxPxdyZyhu5676rF2q8738PM8FvggdqR76kw3n923cKW88pWpFYTxXsvs5fkVlt+J6UH+es9r0Ocnx/Bd+forOc/dzSQlvE6a93ormVsrr41DOXeWFjbg72/MZ/gv8CHFoD2m1m8auO3s71UsjeH0cS50VreFXqtMeACrceNuveFZ1YQOA62c8n36nF7cr2q7p7Wnspeb8OaOwMS9jizfVPO5H/sFd9T7+uXzfe3ibyG5v4+aarq5rEJDG22zqWp6vvMldNtryd7ytHB6r3idcDvDZAKGPnuT72MrL8usK9b5S4cnr4+qongdHR17mG4KmXd5q8vlq0r9/f/Tv3/8PY86ePYtx48Zh7dq1GDBggNXf8vLyMH/+fCxevBi9e/cGACxZsgTh4eFYv349+vXrV6VyyBO4IAiCUO/Jz8+32kwmG/OFq4DFYsEjjzyCKVOmoGVLdSGm5ORklJeXo2/fvpVaaGgoYmNjsXXr1ip/j3TggiAIgt1Sk+Hz3w+jh4eHw2g0Vm4JCQnXXaa33noLer0ezz77LP17ZmYmnJ2d4eNjPTIUFBSEzEy+OiSjzg6hC4IgCMI1qSUXenp6Ory8vCplg4EnxbkWycnJ+OCDD7B7927odNVbVlXTtGp9Rp7ABUEQhHqPl5eX1Xa9HfhPP/2ErKwsREREQK/XQ6/X49SpU5g0aRKioqIAAMHBwSgrK0NOTo7VZ7OyshAUxDP4MaQDFwRBEOwWnaXmW23yyCOPYO/evUhJSancQkNDMWXKFKxduxYA0K5dOzg5OSExMbHycxkZGdi/fz+6dOlS5e+qs0Pols0+0BlcrLUIfqTPJ6n5yj3L+JhKjgd3aRbv4LpjsPob51xXvu/Sf/Jc7S6DC6nutJ1/Z+8JWxRt2U+daezd3fZQPbecO8K3t1Qdx6jgQzbh83jzSB3Kf/c58lToKCBGV490G2NeNmSfA7yMv+ob8d20UdtKJ2/uQt/3FHeKV+S7UN0zWy1LUUc+Q0Kz8HJHfsGP7blmalsGAF0r9eDuefU2GuvwBJ9p0dwnh+ol/1VnSaSO4ifCI5kfK/xgI4/5QN4oVhxoo2hOnfhsiLCO3JmvX8FzpB+Z4a1o/t/zp6m7XuAJ8pNe4W77/Nf4eXZ9V/3ODm9vo7GrVvAb9L493BGue8TGkCqZbmTy4y75Qzv4vi3h/Px8dP8CRXvxyL00NnlGO0WrKC8F8DWNr3VuQiKXwsJCHD9+vPLfqampSElJga+vLyIiIuDnZ53X3snJCcHBwWjatCkAwGg0YtSoUZg0aRL8/Pzg6+uLyZMnIy4urtKVXhXqbAcuCIIgCHWRXbt2oWfP3xaImThxIgBg5MiRWLhwYZX28f7770Ov12P48OEoKSlBr169sHDhQjg68h+yDOnABUEQBLvlZuRCj4+Ph1aN+eNpaWmK5uLigjlz5mDOnDnVL8D/Ix24IAiCYL/chEQudQXpwAVBEAS7RVYjq4PE3XsQTu7WhqtjuQE09mKwagbTneImLtfz3IAV/txhqu/4VU3JqbNh+tJpXC/N5mXR25gDsD9fNRU5BZXQ2DWbuJEpIFZNLwsAoSR1pJeBG1kC3uTmu7I8f6rnrguhekXnfEUraMTf8zjtdae6M/dlIaCJmjYTAC4cVstYXEEMfACK07yori/h5/MvozYo2oli3jZ/ORtB9VODuBms2YeXqP63sUsV7cDt3MS1MrMN1QcH/Ur193qqxjktl5+f9g/spfqeRXFUf6T1Dqr/Z7+a7jW682kaWz6DG+TyH+fXhNseN1Ucwa+H//2rF9U9Q3gqUOPfuJH22MPq+XR+ih+T8ue5Ec5jJyk3gGnP/Ifqn/51mKKd62LjXmPDYGrJ4vF//+KvinbxIZ66Vuui3sgspQ7Aav6dQu1RZztwQRAEQbgm9Xg5UenABUEQBLulPg+hSyIXQRAEQbBD5AlcEARBsF/EhS4IgiAI9kd9HkKvsx34mUJv6DXr9IeGOb401idArYbpnlwaW1jA02MeumAjgbxePbthjbjz+YxDINWDI7OpXr6Lx7s4qm7PliEZNPbYzhiqXyrl+274XzWdpsnbSGM3PcJdzg7u3KGrRfI0jiMaq+7nr1Z1pbG2cB/Ml9g7e463CYdAdS3fzr4naeyRXJ6O1ecIdxwvy7+TxPK6B47h5W4ddYTqG3up7mwAeP9sX0U7uKYJjS0J4+fn0BF+Pht/q7q5y/+eS2N/SmtI9Zef42kz3/iGp9+87Y6javlsXINv/OsLqk/dew/VO92n7vvXi+rMDgAoDuV3b4uTjVS33Xj644BdqvbA4rU09ouz/BxnOPAZC4k5sVQvDFXTwzrwU4+Cxrx96sr5TIuQbeo9yGcdd6w73q86/M1FJpziRRFqkTrbgQuCIAjCNREXuiAIgiDYH/V5CF1c6IIgCIJgh8gTuCAIgmC/WLTLW00+b6dU6wl8+vTp0Ol0Vltw8G9pDjVNw/Tp0xEaGgpXV1fEx8fjwIEDtV5oQRAEQQDw2zvwmmx2SrWfwFu2bIn169dX/vv3a5fOmjUL7733HhYuXIgmTZpgxowZ6NOnD44cOQJPT+7etEXR/0Lg6GztGNca8FhDnnoGXBby73Px5DmeHUao+boBoPy0muPYZSHPne3ehe+7+Dh31w4a9xPV9+apFT2QHEVjG20tonphBHeMxn+RrGibBzWnsToDz+/t5Mytrvf3+IXqXy7voWimiDL+nSX8GJqyuVO+efQ5qud8qjp6P7nA8147tSygekYIP4Zeh9TfvZFTuKt8xxZ+bPNSuSva2cTvJl19jyvar0Y+A8E7lLflsu3csZ/TVD3mZcWqix8A9HruzJ+bwN3m5l58P7uORylam4Y8F/qrsx+j+vix31D9v8/3VzTPcn5cXTy5O/tSc35rDNnK93MxTj2G58t5mz2V7UN1V57aHRuO8dkGuvaq1mAjvzYLm/Pz5nWErw+QdZual939PN+H59/V2Arzn/d2VocavgOvtZL8+VT7KOv1egQHB1duAQGXb/KapmH27NmYNm0ahg0bhtjYWCxatAjFxcVYulRdiEEQBEEQhOun2h34sWPHEBoaiujoaDzwwAM4efLy3NrU1FRkZmaib9/f5qsaDAb06NEDW7dutbk/k8mE/Px8q00QBEEQqsSVTGw12eyUanXgHTt2xOeff461a9fi008/RWZmJrp06YLs7GxkZl5OWBEUZD1cHBQUVPk3RkJCAoxGY+UWHh5+HdUQBEEQ6iNXppHVZLNXqtWB9+/fH/feey/i4uLQu3dvfPfddwCARYsWVcbodNZvFDRNU7TfM3XqVOTl5VVu6enp1SmSIAiCINRLauQ0cHd3R1xcHI4dO1bpRr/6aTsrK0t5Kv89BoMBXl5eVpsgCIIgVAlxoV8fJpMJhw4dQrdu3RAdHY3g4GAkJiaibdu2AICysjIkJSXhrbfeqv6+B+TB0a3USrNY+O+N7BzVLeyzS3WPA0Djh9Q8yQBw4Hww1Usbqy7a086q6xIAIr8vpLpuJs+F/vOLHal+6kG1RbW//RiNTQnh+a17NNxH9WXz+iha5KITNLYVzlA97WueO/yL492p7ntcda+aDfz8lPtxF62lgo/iZHwVRXV3k+ou7tdVzckOAD+ubUt1PS8iiiLU+vxymuexjlpdSvXT/XhOfv9fudN38Qeqs9rZjx+T3PN8BkaDHjbyyZ/yU7RwV17uC/keVK+49xLVQ5zVnNoA0NbvrKJ9/0sbGutXwu+wb20eQPXgCer1dinfncaWX+C3QKcAfi2facxd2zriIF96gtjEAXh9z49hOb+twOUAnw2h65CnaKe9+E6cMnljLgznx9bsr84SKT+q5l4HAJds9ZhUVPB2fCPQaRp0NXiPXZPP3myq1YFPnjwZgwYNQkREBLKysjBjxgzk5+dj5MiR0Ol0mDBhAmbOnImYmBjExMRg5syZcHNzw4gRI25U+QVBEAShXlKtDvzMmTN48MEHcfHiRQQEBKBTp07Yvn07IiMjAQAvvPACSkpKMGbMGOTk5KBjx45Yt25dteeAC4IgCEKVsPz/VpPP2ynV6sCXLVv2h3/X6XSYPn06pk+fXpMyCYIgCEKVqM9D6LKYiSAIgiDYIbKYiSAIgmC/yHrgdY8eDU7A2cPaOblh6e001i9XPQO3P72Hxp4p9qa6wzaet9jxtmJFC7+Du7PTW/B9GE3ccZz3V+70fbb5FkWbk3gXjXU7xwdRNpyPo7oLKWLaV9xVHnZvKtXd7+ZuZsdy3pwc96i5n3Vm7qAO/57rZgN3/xbZmKHYcPIhRXs5aD2JBA5t4ccqpwl37la4qmUc2ou3ty2v8GPbz1d1YQPA6gatqO5uVNtKuYkf76iFvNxZT3E3s+cRNb4whB/vCN8cqmeu5i78c614zvv8EvWaeKJbEo3d+iE/P6WDeD3ztqqNwuzF79KaF5/18GTLn6n+8Tp1FgcAxLRR81ccOWpj8YY7+He6nuL1mfTQcqpvz1fbVspqG+0ni3+n00R+Laclq7NbiiP5Pu56aJOilRZWYAufZFP71DSbmh0PodfZDlwQBEEQrkVNs6nVm0xsgiAIgiDUDeQJXBAEQbBfZAhdEARBEOwPneXyVpPP2yt1tgM//EJz6PXWRhePcBtHmvyAWvtzGxrqkcrfGjjaOomnVeOPX2QRDU0/wFdSc+ioGuEAQK9X030CwP9eUw1rfiN5OtYn+vKlWmclDuLf2VE1Ifl8zFM7nspRzWcA4L2YJ+ZxcuMGtGaT9iva4dxAGpufxVPalgTb+JVs49fzL+mRivZA3qM09uIT3EwY4pNF9ShPNW3oypPcPGRJ5sbG5G68HeqzuHnM+L16qZ4fyg1ixUHcDFWcz4+VU6Cqx3rz1Kjd/XhK36/u4uUu2cNdhoVmNbXp0l130tjyx20Y0I5TGe4kC6q+XS6NDfyAG/s+P96P6oaOfLnjwo9U09fwv+2gsd/9twvV3c/yev5axO8r+y+p10rsaPVaA4CdK7kR8C/+PI2yY3v1hpiRz9epmLext6JZSkoB/EjjbwU2b96Mt99+G8nJycjIyMCKFSswdOhQAEB5eTn+9re/4fvvv8fJkydhNBrRu3dvvPnmmwgNDa3ch8lkwuTJk/HFF1+gpKQEvXr1wty5cxEWxtNjM+QduCAIgmC/3IT1wIuKitC6dWt8+OGHyt+Ki4uxe/duvPLKK9i9ezeWL1+Oo0ePYvDgwVZxEyZMwIoVK7Bs2TJs2bIFhYWFGDhwIMxm/mDHqLNP4IIgCIJwTW7CPPD+/fujf391gSEAMBqNSExMtNLmzJmD22+/HadPn0ZERATy8vIwf/58LF68GL17Xx7BWLJkCcLDw7F+/Xr068dHgK5GnsAFQRCEek9+fr7VZjKpK1FeL3l5edDpdPD29gYAJCcno7y8HH379q2MCQ0NRWxsLLZu5a9FGdKBC4IgCHbLlVzoNdkAIDw8HEajsXJLSEiolfKVlpbipZdewogRI+DlddlHkJmZCWdnZ/j4WPuMgoKCkJnJk+swZAhdEARBsF9qaRpZenp6ZQcLAAYDX/+8OpSXl+OBBx6AxWLB3Llzq1AUDTodNwMz6mwHfuqvgMNVa9ObL/GT5Baq2k51pTbSYIaXU915I3cLmz1VN2bmGzw9ZpMXT1I9Z7bqiAaAgr42XMGPqA5grzneNPa9kaoDFACcCngjsGxVneXZT/P0mM4/8O88zzPawq81d22nLFAdsPoSvg/PAm7gcKjgg0UF3fiOHA+rznrtdj57INKP1//keX+quzup7u9nmm2msUuXDaD6uUa+VHfmzRPn71GH8zzduXu+III7qx1y+TVR7q0e88GBv9LYWUvuo3ppMD9vzf/FU8bmdAxVtIWz3qaxw5KforqDA586kk+WL+7fgKcF3hndlurBd6mpUQGguZE/HSVFdFC0L1Pa0diOgw5T/fiCplRP+QcvY+kTqiP+l7M8pS065FF53YxuVD9/u3q9uWbZmGVyd5qiVRSZwI9g3cXLy8uqA68p5eXlGD58OFJTU7FhwwarfQcHB6OsrAw5OTlWT+FZWVno0oXPUmDIELogCIJgv2j4bU3w69luQB6XK533sWPHsH79evj5+Vn9vV27dnBycrIyu2VkZGD//v3V6sDr7BO4IAiCIFyLm7EeeGFhIY4f/y0RQWpqKlJSUuDr64vQ0FDcd9992L17N7799luYzebK99q+vr5wdnaG0WjEqFGjMGnSJPj5+cHX1xeTJ09GXFxcpSu9KkgHLgiCINgvGmr4Drz6H9m1axd69uxZ+e+JEycCAEaOHInp06dj1apVAIA2bdpYfW7jxo2Ij48HALz//vvQ6/UYPnx4ZSKXhQsXwtHRscrlkA5cEARBEKpBfHw8tD/40fBHf7uCi4sL5syZgzlz5lx3OaQDFwRBEOwXWcyk7qE74wqdi3Uu9MhNfEH50R98r2jbC7lTfPUhnhPYHMDL4XZaHc4oDOXev1buPF/5gXtDqO7jxXOkF+9S3c/R047S2HNJMVQvC+DHauiAnYq2+kQsjQ06yF3Og8fwHM9frIznZblD3Y9WxJtefNtDVG/gkkv1HdlRVP9re9UV/vpnD9HYdvepxwQAjh5TndIAcCBXzU2d9kM0jXWy0a6GtE6h+q/hDaienqW61kc23k5j5/98N9UfvvMnqi/+qauizfh2GI0dcg//zm/XdKT6kTf8qG6pUJ38j/xtMo0t6srbssGHt88Giapbetve22hsbge+7+wD/NxnnuF5yUuD1E7Aluv/7Lv8mi1qxV3eOS34/calQr03RbzKZwOURPD1C8724PsOijuvaJmH+PoFp9ZFKZrZxM/NDcECoOozr/jn7RRxoQuCIAiCHVJnn8AFQRAE4VrcDBd6XUE6cEEQBMF+qcfvwGUIXRAEQRDsEHkCFwRBEOyXevwEXmc7cLdzOjg6W1sL0x/hjtGEeQ8qmnM+Pyk8AzVgHsod5I4r1U8URNnYiQ1ahmdQPetTviPPPLWe6Se5c9U5hNsvPVP5qd3xjZqzOeI8d8OnDXGh+tefx1O9rBV3nnrtUveT15yfy50r+SyBbbcV8O8sdqb6zJWq49wjh9tNd73Dc1Z7BfMBqvxY1UFd7sHbW5k3lXGpzI3qhSa+gILurHoMfwjmsweKQ3k9V37Wg+pNNqt5so+OUnPJA8DO19tTPUjH3c+52Twvu0uvC4pW6s/bW+RKKuPco/z86EvV+pf68+QYrgG87Xus5q7tARM3UX3hNtXJ7/8L/85zaigAwLGMtyGdjf7FYZu6fkPFBzwD+fmf+J2vUYdTVD+Sps6ccQzky2vqT6nnWFd7K3Fem3rcgcsQuiAIgiDYIXX2CVwQBEEQrkk9ngcuHbggCIJgt8g0MkEQBEGwR+QduCAIgiAI9kSdfQL3PFUBvZO1Uzmfp1tG+NBURTOZbVTtdTXPOAAUfOlD9Qu3qb/OnAr47561a7hDt6yB6loGgBZbM6l+cLKac9g3nLvkvRZzd6lzPncFZ/1Vdd2Wl3O37Kx2i6n+wlePUL3ZrCKqp/dX3cUGvxIaW2zm7mxXR/6iSp/JXehlXqpm6aW6rQFA78D37fg9P7bNG51TtIat+flx13M77rrTzahevJe3wwo/9XyWWfh589nHXwgW3cWd/Ecbqo7riO95+8luyfN7azZWQCyN4+dZb1avoQpuWMeFJ7lTvOIsd8qnP6heb17bebl1zuVUN9/Hz+fPz6izOADA8V61Ppd68lkZHRpy5/eOXxtT3S2d38uMqeo5yszn7vmw9fwY5t7OD3r4KrU+Z+/lbcLkq94jzaV/4lOtRbNt1a/q5+2UOtuBC4IgCMI1kSF0QRAEQRDsCXkCFwRBEOyYGj6Bw36fwKUDFwRBEOyXejyEXmc78FJfRzg6Wztjwr7ksQcGhilacMQlGpv1JN9Hw9CzVLeUqgaswhKe7tJpC3FOASgP5w3k4MvcUNeu6Uk1dl0TGpszkBtlYOFGJu2iahIL/4HHlrblxh/3Mzz+0CRuoNE5qEYux5PcgGTDC4WWQdzwt2+fmk4SAKJ6pyma6R9qekgAyG7Jz6ehmJ+3U4lRipbewZvGNjBy41yPsONU/66Ip0c16FUD0cXEBjQ2MI0b50w7+fn5asy7inZv7iQaa2laSHXvH9yp3n94CtV/HdtK0c51p6GIDeapiA/+zI2Afs3Va995F28nZ939qG7y4ee+oiNv+zqzGu+5nRvETvlzo2LoJv5GM8PGNa61U816FhvXw3kb5XZbytPXag5qfTx28/roi4iJjft2hVqmznbggiAIgnBNLBpqNAwuLnRBEARBuAlolstbTT5vp4gLXRAEQRDsEHkCFwRBEOwXMbEJgiAIgh1Sj9+B6zStbv38yM/Ph9FoROSMN+DgYu2QtNhYUN71MHFS2lhezuUir65DBZWR00t1gLr/wt2Yrtn8XUpJAH9T0fPhX6i+/n+3K1pxc+5E9fHlruBWAdy5u+VkI0Uzl3Hvt2bi5W4QydNMZu5XU8ACgG9zNb5kYwCNdeSnGEVhNpppOE/VWVGkOuiDGuTQ2PMZ3lT/a4efqH6bW5qivfzuEzTW774zVC+czx3kOc14wy2LVA+M72bunvc9zI9JYRh3HHs+pZbxhagfaOxTq/9KdYsLb/vOF220rcZq2l3tNHeyO+XZOCa+/Dt9SSrZ4sH5NNbja+7MH/PKV1R/PXkQ1b1+Uo+tyYeX2+8Qv9mkD+Bt/OlOm6j+7313KJpLCk9FHNiXt8PUw3xmhnsDNe1u4SW+b322eq1ZSkuR9so05OXlwcuLz86pKVf6it6ho6F34NdCVaiwmLD+3L9uaFlvFPIOXBAEQRDsEBlCFwRBEOwXDTV8B15rJfnTkQ5cEARBsF/qsYlNhtAFQRAEwQ6pdgd+9uxZPPzww/Dz84ObmxvatGmD5OTkyr9rmobp06cjNDQUrq6uiI+Px4EDB2q10IIgCIIAALBYar7ZKdUaQs/JycEdd9yBnj174ocffkBgYCBOnDgBb2/vyphZs2bhvffew8KFC9GkSRPMmDEDffr0wZEjR+DpyR2fDLdzOjgarF2ckwatorGzDg5XNB1fex4LXn6f6kOTxlBdf5rkQm/PXb75pfxwOqiGTgDA5rOqIxwANGJejfiSu3nPt+f51H828BzP+lJ15x7teN74vHQb+aNP8u/UufChqIsX1fOu9+WxDTqco7rbfO6WzdJzZ3Xz204rWsbXUTQ2dCDPs/75yjupXjx4i6KV9eEuZ4dpPO+1wZc3UK0pt+F7blNzx5ttGG+P38//oLny78y5pJbxr+mP8Z3bmN0R8S3X0+/iN8dWIecV7eROfj0UtOSJtRv+h7eh7BZq/S27beQI78X3/a80npi94Uc2nO9vH1G0nb/w9QsmPrGU6pNXPUz1xcfUWSkAoGWQe1NMOY01b1LXiwCA2/sfpvrO1EhF8w3kbbz8gHo/MJtsNJQbQT0eQq9WB/7WW28hPDwcCxYsqNSioqIq/1/TNMyePRvTpk3DsGHDAACLFi1CUFAQli5ditGjR9dOqQVBEAShnlOtIfRVq1ahffv2+Mtf/oLAwEC0bdsWn376aeXfU1NTkZmZib59+1ZqBoMBPXr0wNatW+k+TSYT8vPzrTZBEARBqBJXnsBrslWTzZs3Y9CgQQgNDYVOp8PKlSuvKtK1XyWbTCaMHz8e/v7+cHd3x+DBg3HmDJ+vb4tqdeAnT57EvHnzEBMTg7Vr1+Lpp5/Gs88+i88//xwAkJl5eSgyKCjI6nNBQUGVf7uahIQEGI3Gyi08PLxaFRAEQRDqMRat5ls1KSoqQuvWrfHhhx/Sv195lfzhhx9i586dCA4ORp8+fVBQ8Nv71AkTJmDFihVYtmwZtmzZgsLCQgwcOBBms433v4RqDaFbLBa0b98eM2fOBAC0bdsWBw4cwLx58/Doo49Wxul01u8/NE1TtCtMnToVEydOrPx3fn6+dOKCIAjCn8rVo78GgwEGA/eT9O/fH/3796d/q8qr5Ly8PMyfPx+LFy9G7969AQBLlixBeHg41q9fj379+lWpzNV6Ag8JCUGLFi2stObNm+P06cuGoeDgYABQnrazsrKUp/IrGAwGeHl5WW2CIAiCUBU0zVLjDQDCw8OtRoMTEhKuqzxVeZWcnJyM8vJyq5jQ0FDExsbafN3MqNYT+B133IEjR6zdlkePHkVk5GXHYnR0NIKDg5GYmIi2bdsCAMrKypCUlIS33nqrOl+Fck/ActWPn1c330NjffLUIZAKN/7E/21+a6obd3A3M/uJU1LGc6Hf3nc/1fcsj6W6/ldfqpeoBlCcGkpD0bbpMaqnfhlD9ZB70xSt6F3uUM0dyIeWmsRwp/gzEZuovjq7jaIlXeDH5JlIvo8GM3ke8+dfG0v1S7sjFK1ooJp/GwBejN5I9Y8delB9+dfdFK2iBd93xQxe7iwbruCyIn7MLaGqbjbwWEM2n7HQsvcJqmfPiFK0ggg1vzUANBx5lOqeHbl7vujTOKqnHVUd5wWtuSPcyZU7q0sC+HXIZqCUBvNhSYdcfgs8V8ZnWni+wKeUhDuqZfffze9Bz7uOoLrPMR7vuJ8/1PhnqTnVvV5Ip7FndkdTfc+GplS3BKjH61IJd/IHZanOfHPZnzg1S7u+YXCrzwNIT0+3eoC09fR9Lf7oVfKpU6cqY5ydneHj46PE2HrdzKhWB/7888+jS5cumDlzJoYPH45ffvkFn3zyCT755BMAl4fOJ0yYgJkzZyImJgYxMTGYOXMm3NzcMGIEb7SCIAiCcN1oNVyN7P878NoeAa7Oq+TqxPyeanXgHTp0wIoVKzB16lS8/vrriI6OxuzZs/HQQw9VxrzwwgsoKSnBmDFjkJOTg44dO2LdunXVmgMuCIIgCPbI718lh4T8lr/i96+Sg4ODUVZWhpycHKun8KysLHTp0qXK31XtTGwDBw7Evn37UFpaikOHDuGvf7VeXlCn02H69OnIyMhAaWkpkpKSEBvLh0sFQRAEoUbUsUxsv3+VfIUrr5KvdM7t2rWDk5OTVUxGRgb2799frQ5cFjMRBEEQ7JdaGkKvDoWFhTh+/Hjlv1NTU5GSkgJfX19ERERc81Wy0WjEqFGjMGnSJPj5+cHX1xeTJ09GXFxcpSu9KtTdDpycE9fT3FiT27lU0VyOcVPaZ/ts/LppxH+Ftbn9uKKd/jc3iO1eyUcaYofydIW/7Ob78f1VHRhxP8tP1V43bobSGvP65B5voGgBftz01CBKTXcJAKZ3eFrT54c9SHUHF9VsE9jyAo1973W+D8/Hz1K9JJC/L2p/r2oo/DUrlH9nwgNUH/fS/6j+WbJqpiw640Zj8/Rcj1i4i+pZX3OzkXmvmhp32ONJNHbhLt7G0z/l7c3FSTUsZbflpq9LyXwfXW8/SPXiUH5+ArupRsi809w4ZtjjTnXnAm5uCx2rXrMujmobBICf9/H60HzGANy+4kauXfepWjH37yFwK7/eLvZV72MA4HCG38su9VLrFPaOat4EgKJOvCwWXhQMaPeroiWuuY3Glvqox8psurXXydq1axd69uxZ+e8rU6FHjhyJhQsXVulV8vvvvw+9Xo/hw4ejpKQEvXr1wsKFC+HoaOOkEOpuBy4IgiAI10CzWKDprn8Y/Mo0suoQHx8P7Q+e3K+8Sp4+fbrNGBcXF8yZMwdz5syp9vdfQTpwQRAEwX65CUPodYVbe5xDEARBEG5R5AlcEARBsF8sGqCrn0/g0oELgiAI9oumAajBVDDpwGsfj7MaHJ2tD2zp0FwaG7DcW9HMzvykOFTw9IsO3NCKtIWqSzWnDd+3nmfTRGYRz+6jDyihet6d6psNz594uY2buUM18iHViQsAw4NU9/O0wvtpbLMx/KLI/pCnB3XaG0D18ER1P1nteG78mKd4atisfzakustjF6ne0eukonnqucs37fE8qr/7r+H8O/3V828akktjdZt8qH72y8ZULy/lDlQXciq++k88jW22lp+fzNdtpGl1VHce9SF3W6cN5W3C1gyMiraFVMdsta00ucjPT+y83VRfsbUD1U/tJ23FRnIr7xC+fHHZdp7mGDYMT/lZHooWto3Htpi6l+qJh5tT3RzC09SGrFJTfZ4ewL9TV851zZ3PNigxqzN+ykh6VQDo2FudZVNeVIaD/6LhQi1SZztwQRAEQbgWmkWDVoMh9D9yk9d1pAMXBEEQ7BfNgpoNof+JC6/UMtKBC4IgCHZLfX4Cl2lkgiAIgmCH1Lkn8Cu/hszlqqHFXMzNHOYyEmtj/2YTd7NoNkxs5jL115ml1IYZqJTvu6KIl9tSzE07mkX9XWUu4/u2lYCovIivrVxcqB4ZSykvR4XFxvEu4kfX5n4q1LKYTfwY2ip3BWkPgO02UVKoppksK+YnubyYf6fZZOM7SZuwVQ6djX1YbLXlcv6b2mxSTUVmG8asCrONfRfzY64jJjZbx9tSwr/UbOK3ElttvKJcLYtjBY81FfLzZimxcf3oST1tHCub9xSb555fcJYS9ZqosHEuywp5e7NVH1s5SiqIMc1SYsvEZuO+58CvZVZGW+Vj1+wV7c94uq3QTDUaBq+AjZu/HaDT6tj4wZkzZxAeHn6ziyEIgiDUkPT0dISF8fUaakppaSmio6ORmZlZ430FBwcjNTUVLi58Vk9dpc514BaLBefOnYOnpycKCgoQHh6O9PT0Wl1ova6Rn58v9byFqA/1rA91BKSe14umaSgoKEBoaCgcHG7cm9rS0lKUlfERjerg7Oxsd503UAeH0B0cHCp/sel0l4d9vLy8bumL5wpSz1uL+lDP+lBHQOp5PRiNPJdAbeLi4mKXHW9tISY2QRAEQbBDpAMXBEEQBDukTnfgBoMBr776KgwGNWXgrYTU89aiPtSzPtQRkHoKdZs6Z2ITBEEQBOHa1OkncEEQBEEQONKBC4IgCIIdIh24IAiCINgh0oELgiAIgh0iHbggCIIg2CF1ugOfO3cuoqOj4eLignbt2uGnn3662UWqEZs3b8agQYMQGhoKnU6HlStXWv1d0zRMnz4doaGhcHV1RXx8PA4cOHBzCnudJCQkoEOHDvD09ERgYCCGDh2KI0eOWMXcCvWcN28eWrVqVZm5qnPnzvjhhx8q/34r1PFqEhISoNPpMGHChErtVqjn9OnTodPprLbg4ODKv98KdbzC2bNn8fDDD8PPzw9ubm5o06YNkpOTK/9+K9W1PlBnO/D//ve/mDBhAqZNm4Y9e/agW7du6N+/P06fPn2zi3bdFBUVoXXr1vjwww/p32fNmoX33nsPH374IXbu3Ing4GD06dMHBQUFf3JJr5+kpCSMHTsW27dvR2JiIioqKtC3b18UFRVVxtwK9QwLC8Obb76JXbt2YdeuXbjzzjsxZMiQypvdrVDH37Nz50588sknaNWqlZV+q9SzZcuWyMjIqNz27dtX+bdbpY45OTm444474OTkhB9++AEHDx7Eu+++C29v78qYW6Wu9QatjnL77bdrTz/9tJXWrFkz7aWXXrpJJapdAGgrVqyo/LfFYtGCg4O1N998s1IrLS3VjEaj9vHHH9+EEtYOWVlZGgAtKSlJ07Rbt56apmk+Pj7av//971uujgUFBVpMTIyWmJio9ejRQ3vuuec0Tbt1zuWrr76qtW7dmv7tVqmjpmnaiy++qHXt2tXm32+lutYX6uQTeFlZGZKTk9G3b18rvW/fvti6detNKtWNJTU1FZmZmVZ1NhgM6NGjh13XOS8vDwDg6+sL4Nasp9lsxrJly1BUVITOnTvfcnUcO3YsBgwYgN69e1vpt1I9jx07htDQUERHR+OBBx7AyZMnAdxadVy1ahXat2+Pv/zlLwgMDETbtm3x6aefVv79VqprfaFOduAXL16E2WxGUFCQlR4UFFQra7/WRa7U61aqs6ZpmDhxIrp27YrY2FgAt1Y99+3bBw8PDxgMBjz99NNYsWIFWrRocUvVcdmyZdi9ezcSEhKUv90q9ezYsSM+//xzrF27Fp9++ikyMzPRpUsXZGdn3zJ1BICTJ09i3rx5iImJwdq1a/H000/j2Wefxeeffw7g1jmf9Yk6t5zo77mynOgVNE1TtFuNW6nO48aNw969e7Flyxblb7dCPZs2bYqUlBTk5ubi66+/xsiRI5GUlFT5d3uvY3p6Op577jmsW7fuD5dstPd69u/fv/L/4+Li0LlzZzRq1AiLFi1Cp06dANh/HQHAYrGgffv2mDlzJgCgbdu2OHDgAObNm4dHH320Mu5WqGt9oU4+gfv7+8PR0VH51ZeVlaX8OrxVuOJ6vVXqPH78eKxatQobN26sXN8duLXq6ezsjMaNG6N9+/ZISEhA69at8cEHH9wydUxOTkZWVhbatWsHvV4PvV6PpKQk/POf/4Rer6+si73X82rc3d0RFxeHY8eO3TLnEgBCQkLQokULK6158+aVxuBbqa71hTrZgTs7O6Ndu3ZITEy00hMTE9GlS5ebVKobS3R0NIKDg63qXFZWhqSkJLuqs6ZpGDduHJYvX44NGzYgOjra6u+3Sj0ZmqbBZDLdMnXs1asX9u3bh5SUlMqtffv2eOihh5CSkoKGDRveEvW8GpPJhEOHDiEkJOSWOZcAcMcddyhTOo8ePYrIyEgAt/a1ectys9xz12LZsmWak5OTNn/+fO3gwYPahAkTNHd3dy0tLe1mF+26KSgo0Pbs2aPt2bNHA6C999572p49e7RTp05pmqZpb775pmY0GrXly5dr+/bt0x588EEtJCREy8/Pv8klrzrPPPOMZjQatU2bNmkZGRmVW3FxcWXMrVDPqVOnaps3b9ZSU1O1vXv3ai+//LLm4OCgrVu3TtO0W6OOjN+70DXt1qjnpEmTtE2bNmknT57Utm/frg0cOFDz9PSsvNfcCnXUNE375ZdfNL1er73xxhvasWPHtP/85z+am5ubtmTJksqYW6Wu9YU624FrmqZ99NFHWmRkpObs7KzddtttlVOR7JWNGzdqAJRt5MiRmqZdnsbx6quvasHBwZrBYNC6d++u7du37+YWupqw+gHQFixYUBlzK9TziSeeqGybAQEBWq9evSo7b027NerIuLoDvxXqef/992shISGak5OTFhoaqg0bNkw7cOBA5d9vhTpeYfXq1VpsbKxmMBi0Zs2aaZ988onV32+lutYHZD1wQRAEQbBD6uQ7cEEQBEEQ/hjpwAVBEATBDpEOXBAEQRDsEOnABUEQBMEOkQ5cEARBEOwQ6cAFQRAEwQ6RDlwQBEEQ7BDpwAVBEATBDpEOXBAEQRDsEOnABUEQBMEOkQ5cEARBEOyQ/wMoH4WW+KljsgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask_visualiztion()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "7343f851",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAh8AAAFGCAYAAADKNP1zAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABaKElEQVR4nO3deXgURcIG8HeSyX1BQHJwBgkE5D7kUhOEgIB4IF6gIoofigeILsqiEBQTQZeNqxKPdYFdORYFQVcUwhXUBEEURHARFBCEEEQgIYSc9f3BpqerZ6bTPZmZXO/veeahp6u7urpnUtTUaRFCCBARERF5iU9NJ4CIiIgaFhY+iIiIyKtY+CAiIiKvYuGDiIiIvIqFDyIiIvIqFj6IiIjIq1j4ICIiIq9i4YOIiIi8ioUPIiIi8ioWPogamMWLF8NiseDIkSOmzktJSYHFYsHvv//utrRUxukOxcXFeOWVV9C5c2eEhIQgKioKw4cPR3Z2tlviJyL3YeGDiOqFhx56CM8++yxuueUWfPLJJ3jzzTdx+vRpJCYmYseOHTWdPCJSsdZ0AoiIqqu4uBjLli3D2LFjMXfuXGX/wIEDERsbi6VLl+Lqq6+uwRQSkRprPogauMzMTNx8881o0aIFAgMD0a5dO0yaNMlp88qxY8cwevRohIeHIyIiAvfccw9Onz5td9y///1v9O/fHyEhIQgNDcWwYcPw3XffeeQefHx84OPjg4iICGl/eHg4fHx8EBgY6JHrEpFrWPggauB+/vln9O/fHxkZGdiwYQNmzZqFr7/+Gtdccw1KS0vtjr/11lvRrl07fPjhh0hJScGaNWswbNgw6djU1FTcfffd6NSpE1auXIl//etfKCgowLXXXov9+/frpqeiogJlZWVVvsrLy5Vz/Pz8MHnyZCxZsgRr1qxBfn4+jhw5goceeggRERF46KGH3PfAiKj6BBE1KIsWLRIAxOHDh+3CKioqRGlpqTh69KgAINauXauEzZ49WwAQTz75pHTO0qVLBQDx/vvvCyGE+PXXX4XVahWPP/64dFxBQYGIjo4Wd9xxh12cauPHjxcAqnwlJibapX3WrFnCx8dHOaZVq1biu+++c+EpEZEnsc8HUQOXl5eHWbNm4dNPP8WJEydQUVGhhP3444+46aabpOPHjRsnvb/jjjswfvx4bNmyBePGjcP69etRVlaG++67D2VlZcpxgYGBSExMxJYtW3TTk5KSgscee6zKdIeFhUnvX3rpJbz66qtISUnBtddei/z8fLzxxhtITk7Ghg0b0KNHjyrjJCLvYOGDqAGrqKjA0KFDceLECTz//PPo0qULQkJCUFFRgX79+qGoqMjunOjoaOm91WpFkyZNcObMGQDAqVOnAAB9+vRxeE0fH/3W3latWqFFixZVpl09RPfHH3/ErFmzMH/+fDz99NPK/uHDh6NTp06YNm1alYUeIvIeFj6IGrAffvgBe/bsweLFizF+/Hhl/6FDh5yek5ubi+bNmyvvy8rKcObMGTRp0gQA0LRpUwDAhx9+iNatW5tO0wMPPIAlS5ZUeVxiYiK2bt0KANizZw+EEHYFHj8/P3Tr1g1ZWVmm00FEnsPCB1EDVll7EBAQIO1/++23nZ6zdOlS9OrVS3m/cuVKlJWVISkpCQAwbNgwWK1W/Pzzz7jttttMp8mVZpfY2FgAwPbt25GYmKjsLy4uxrfffmuoJoWIvIeFD6IGLCEhAVdeeSWeffZZCCEQGRmJTz75BJmZmU7PWb16NaxWK5KTk7Fv3z48//zz6NatG+644w4AQJs2bfDCCy9g5syZ+OWXX3DDDTegcePGOHXqFHbs2IGQkBDMmTPHafxt2rRBmzZtTN3HNddcgz59+iAlJQUXL17Eddddh/Pnz+P111/H4cOH8a9//ctUfETkWSx8EDVgfn5++OSTTzBlyhRMmjQJVqsVQ4YMwcaNG9GqVSuH56xevRopKSnIyMiAxWLBqFGjkJ6eDn9/f+WYGTNmoFOnTnjttdewfPlyFBcXIzo6Gn369MHDDz/s9vvw8fFBZmYmXnnlFXzwwQd49dVXERoaik6dOmHdunUYPny4269JRK6zCCFETSeCiIiIGg5OMkZERERexcIHEREReRULH0RERORVLHwQERGRV7HwQURERF7FwgcRERF5FQsfRERE5FUsfLjB4sWLYbFY8M0339R0UhSpqalYs2aN4eMtFgtSUlI8lp666siRI7BYLFi8eLGyLzs7GykpKTh37pzd8W3atMGNN97ovQRSnbB9+3bcfvvtiImJgb+/P6KjozFmzBjk5ORUK16zf+fVceLECaSkpGD37t2Gjt+6dSssFouy/g7ZVP6fceTIEWXfsmXLkJ6ebndsZR706quvei+BXsDCRz1lNlPKycnBxIkTPZegOiomJgY5OTkYOXKksi87Oxtz5sxxWPgg0nr99dcxcOBAHD9+HPPnz8fGjRvx6quv4rfffsM111yDN954w+W4vV34mDNnjuHCR8+ePZGTk4OePXt6NmF10MiRI5GTk4OYmBhln7PCR33F6dUJANCvX7+aTkKtFBAQwGdDLvvqq68wdepUjBgxAh999BGsVluWe9ddd+HWW2/FlClT0KNHDwwcOLAGU+p+4eHh/Ntx4oorrsAVV1xR08moUaz58JD7778foaGhOHToEEaMGIHQ0FC0bNkSTz31FIqLi5XjKqvU5s+fj5deegmtWrVCYGAgevfujU2bNtnF6WjBrZSUFGV1UuByE0phYSGWLFkCi8UCi8WirDjqjLbZpbJacPPmzXjooYfQpEkThIeH47777kNhYSFyc3Nxxx13oFGjRoiJicHTTz+N0tJSKc45c+agb9++iIyMRHh4OHr27In33nsP2hn9i4uL8dRTTyE6OhrBwcG47rrrsGvXLrRp0wb333+/dGxubi4mTZqEFi1awN/fH3FxcZgzZw7Kysp07+9Pf/oTIiIiUF5erux7/PHHYbFY8Morryj7zpw5Ax8fH7z++usA7JtdUlJS8Kc//QkAEBcXpzxfbdXy559/jp49eyIoKAgJCQn4xz/+oZs+qp/S0tJgsViQkZEhFTwAwGq1YuHChbBYLHj55ZeV/e74O6/8+83MzMSECRMQGRmJkJAQjBo1Cr/88osUr6O/MwBISkpS4tu6dSv69OkDAJgwYYJyPb2mWkfNLpX54n//+18MGzYMISEhiImJUe5/+/btuOaaaxASEoL27dtjyZIlUpynT5/G5MmT0alTJ4SGhqJZs2a4/vrr8cUXX9hd//jx4xgzZgzCwsLQqFEjjBs3Djt37rRrRgWAb775BjfddBMiIyMRGBiIHj16YOXKlU7vrVKfPn2kWlEA6NKlCywWC3bu3KnsW716NSwWC/bu3QvAvtklKSkJn376KY4ePao8W/VnXWnBggWIi4tDaGgo+vfvj+3bt1eZxtqKhQ8PKi0txU033YTBgwdj7dq1eOCBB/DXv/4V8+bNszv2jTfewOeff4709HS8//778PHxwfDhw11qE87JyUFQUBBGjBiBnJwc5OTkYOHChS7dw8SJExEREYEVK1bgueeew7Jly/DQQw9h5MiR6NatGz788EOMHz8ef/nLX5T/sCsdOXIEkyZNwsqVK7F69WqMHj0ajz/+OF588UXpuAkTJiA9PR0TJkzA2rVrcdttt+HWW2+1a9bIzc3F1VdfjfXr12PWrFn47LPP8OCDDyItLQ0PPfSQ7n0MGTIE+fn52LFjh7Jv48aNCAoKklZw3bRpE4QQGDJkiNPn8fjjjwO4nKFUPl911fKePXvw1FNP4cknn8TatWvRtWtXPPjgg9i2bZtuGql+KS8vx5YtW9C7d2+0aNHC4TEtW7ZEr169sHnzZqlgbISRv/MHH3wQPj4+SpX+jh07kJSUZLrJsGfPnli0aBEA4LnnnlOu50pTbWlpKUaPHo2RI0di7dq1GD58OGbMmIE///nPGD9+PB544AF89NFH6NChA+6//37s2rVLOfePP/4AAMyePRuffvopFi1ahLZt2yIpKUkq5BQWFmLQoEHYsmUL5s2bh5UrVyIqKgp33nmnXXq2bNmCgQMH4ty5c3jrrbewdu1adO/eHXfeeaddIUVryJAh2LZtm/LD69SpU/jhhx/s8pWNGzciKioKXbp0cRjPwoULMXDgQERHRyvPVpv3v/nmm8jMzER6ejqWLl2KwsJCjBgxAufPn9dNY60lqNoWLVokAIidO3cq+8aPHy8AiJUrV0rHjhgxQnTo0EF5f/jwYQFAxMbGiqKiImV/fn6+iIyMFEOGDJHibN26td31Z8+eLbQfZUhIiBg/frzhewAgZs+ebXdPjz/+uHTcLbfcIgCIBQsWSPu7d+8uevbs6TT+8vJyUVpaKl544QXRpEkTUVFRIYQQYt++fQKAeOaZZ6Tjly9fLgBI9zBp0iQRGhoqjh49Kh376quvCgBi3759Tq9fWFgo/P39xQsvvCCEEOL48ePKdYOCgsSlS5eEEEI89NBDIjY2Vjmv8vNZtGiRsu+VV14RAMThw4ftrtO6dWsRGBgopbGoqEhERkaKSZMmOU0f1T+5ubkCgLjrrrt0j7vzzjsFAHHq1CkhhHv+ziv/fm+99VZp/1dffSUAiLlz5yr7Wrdu7TCOxMREkZiYqLzfuXOn3d+Cni1btggAYsuWLcq+ynxx1apVyr7S0lJxxRVXCADi22+/VfafOXNG+Pr6imnTpjm9RllZmSgtLRWDBw+W7vXNN98UAMRnn30mHT9p0iS7e0hISBA9evQQpaWl0rE33nijiImJEeXl5U6vv3HjRgFAbNu2TQghxPvvvy/CwsLE5MmTxaBBg5Tj4uPjxdixY5X3lZ+POg8ZOXKkw8+9Mg/q0qWLKCsrU/bv2LFDABDLly93mr7ajDUfHlS53Lha165dcfToUbtjR48ejcDAQOV9WFgYRo0ahW3btpn+ReRO2pEbHTt2BAC7qsaOHTva3dfmzZsxZMgQREREwNfXF35+fpg1axbOnDmDvLw8AEBWVhYA4I477pDOHTNmjF019X/+8x8MGjQIsbGxKCsrU16Vy6VXxuVIcHAw+vfvj40bNwIAMjMz0ahRI/zpT39CSUkJvvzySwCXf6E4q/Uwqnv37tJy9IGBgWjfvr3Dz51I/K8Z0lE1e3WNGzdOej9gwAC0bt0aW7Zscfu1jLJYLBgxYoTy3mq1ol27doiJiUGPHj2U/ZGRkWjWrJnd381bb72Fnj17IjAwEFarFX5+fti0aRN+/PFH5ZisrCyEhYXhhhtukM69++67pfeHDh3Cf//7X+U5qfOVESNG4OTJkzhw4IDTexk4cCACAwOlfCUpKQk33HADsrOzcfHiRRw7dgwHDx6sdr4ycuRI+Pr6Ku+7du0KAHU2X2Hhw4OCg4OlAgVwuQPjpUuX7I6Njo52uK+kpAQXLlzwWBqrEhkZKb339/d3ul99Xzt27MDQoUMBAO+++y6++uor7Ny5EzNnzgQAFBUVAbjcxwIAoqKipPisViuaNGki7Tt16hQ++eQT+Pn5Sa+rrroKAPD777/r3suQIUOwfft2FBYWYuPGjbj++uvRpEkT9OrVCxs3bsThw4dx+PDhamcS2nQDlz/3ynumhqFp06YIDg7G4cOHdY87cuQIgoOD7f6m3MFZvlL5d1cTHOWL/v7+Du9fm68sWLAAjzzyCPr27YtVq1Zh+/bt2LlzJ2644Qbp7+vMmTN2eQpgn8+cOnUKAPD000/b5SuTJ08GoJ+vBAYGYuDAgUrhY9OmTUhOTkZSUhLKy8vxxRdfKM0v7s5XAgICAKDO5isc7VJL5ObmOtzn7++P0NBQAJe/6OrOqpWq+k+3JqxYsQJ+fn74z3/+I2U02mGBlX9Qp06dQvPmzZX9ZWVldhlk06ZN0bVrV7z00ksOrxkbG6ubpsGDB+P555/Htm3bsGnTJsyePVvZv2HDBsTFxSnviarL19cXgwYNwueff47jx4877Pdx/Phx7Nq1C8OHD1d+1brz79xZvtKuXTvlvd71mjZtavqanvT+++8jKSkJGRkZ0v6CggLpfZMmTaT+XZW0z6Py/mbMmIHRo0c7vGaHDh100zR48GDMmjULO3bswPHjx5GcnIywsDD06dMHmZmZOHHiBNq3b4+WLVtWeX8NCWs+aonVq1dLJfyCggJ88sknuPbaa5VMqU2bNsjLy1NK6wBQUlKC9evX28VX07+0LRYLrFarVE1YVFSEf/3rX9Jx1113HQDg3//+t7T/ww8/tBvBcuONN+KHH37AlVdeid69e9u9qip8XH311QgPD0d6ejpyc3ORnJwM4PIvku+++w4rV65Ep06dqoynrv/iIO+ZMWMGhBCYPHmyXfNpeXk5HnnkEQghMGPGDGW/O//Oly5dKr3Pzs7G0aNHpdFvbdq0wffffy8d99NPP9k1N9SG773FYlHSUen777+365yZmJiIgoICfPbZZ9L+FStWSO87dOiA+Ph47Nmzx2Ge0rt3b4SFhemmaciQISgrK8Pzzz+PFi1aICEhQdm/ceNGpfm5KjWdZ3sbCx+1hK+vL5KTk/HRRx9h1apVGDx4MPLz8zFnzhzlmDvvvBO+vr646667sG7dOqxevRpDhw512CekS5cu2Lp1Kz755BN88803uu2WnjBy5EhcuHABY8eORWZmJlasWIFrr73WLuO46qqrcPfdd+Mvf/kL/vznP2Pjxo147bXXMH36dERERMDHx/YVfeGFF+Dn54cBAwYgIyMDmzdvxrp167Bw4ULceOONOH78uG6afH19kZiYqNRyXHnllQAut9sGBARg06ZNhjKJyh7rr732GnJycvDNN9/Y/fIiAi5/t9LT0/Hpp5/immuuwdKlS/HFF19g6dKluPbaa7Fu3Tqkp6djwIAByjnu/Dv/5ptvMHHiRKxfvx5///vfceutt6J58+ZKkwIA3Hvvvdi/fz8mT56MTZs24R//+Aduuukmu3korrzySgQFBWHp0qXYunUrvvnmG5w4ccLNT0zfjTfeiA0bNmD27NnYvHkzMjIyMGzYMKXWstL48ePRrl073HPPPcjIyEBmZiamTZumFODU+crbb7+NTZs2YdiwYVi+fDm2bduGNWvWIC0tDbfffnuVaerVqxcaN26MDRs2KD9ogMuFjz179uDUqVOG85W8vDxkZGRgx44dtWrGbI+o4Q6v9YKz0S4hISF2x2p7rFf2ZJ43b56YM2eOaNGihfD39xc9evQQ69evtzt/3bp1onv37iIoKEi0bdtWvPHGGw57we/evVsMHDhQBAcHCwBSr3VH4GS0i/qe1Ok/ffq0tN/R/f7jH/8QHTp0EAEBAaJt27YiLS1NvPfee3a9vC9duiSmTZsmmjVrJgIDA0W/fv1ETk6OiIiIEE8++aQU5+nTp8UTTzwh4uLihJ+fn4iMjBS9evUSM2fOFBcuXNC9RyGEeO211wQA8dBDD0n7k5OTBQDx8ccfS/sdjXYRQogZM2aI2NhY4ePjI/Xob926tRg5cqTddbUjB6hhycnJEWPGjBFRUVHCarWKZs2aidGjR4vs7GyHx1f377zy73fDhg3i3nvvFY0aNRJBQUFixIgR4uDBg1IcFRUVYv78+aJt27YiMDBQ9O7dW2zevNnhd3b58uUiISFB+Pn52eUZWs5GuzjKFxMTE8VVV11lt1/791RcXCyefvpp0bx5cxEYGCh69uwp1qxZ43CE0K+//ipGjx4tQkNDRVhYmLjtttvEunXrBACxdu1a6dg9e/aIO+64QzRr1kz4+fmJ6Ohocf3114u33nrL6f2p3XrrrQKAWLp0qbKvpKREhISECB8fH3H27FnpeEejXf744w8xZswY0ahRI2GxWJTPujIPeuWVV+yuW9VnUJtZhNDM+ERedeTIEcTFxeGVV17B008/XdPJqTWys7MxcOBALF26FGPHjq3p5BDVKYsXL8aECROwc+dO9O7du6aTU2ukpqbiueeew6+//up07hXyDnY4pRqXmZmJnJwc9OrVC0FBQdizZw9efvllxMfHO+0ERkSkp3LNnISEBJSWlmLz5s3429/+hnvuuYcFj1qAhQ+qceHh4diwYQPS09NRUFCApk2bYvjw4UhLS7MbkkdEZERwcDD++te/4siRIyguLkarVq3wzDPP4LnnnqvppBEANrsQERGRV3G0CxEREXlVgy98nDhxAikpKdi9e7fLcWRnZyMlJcX0Yk1q2hUrq3ucI/v370dKSoqykmJN064YC7jnWTry97//HbfccgvatGmDoKAgtGvXDo888ghOnjzp8PgVK1age/fuCAwMRGxsLKZOnWo30+zmzZvxwAMPICEhASEhIWjevDluvvlmaSGsqqxfvx4DBw5EUFAQIiIiMGrUKOzbt0/3nKKiIrRv3x4WiwWvvvqq4WuR+zDfqDnMN+pJvlGzg21qntnFkhzRW2jMKEfD6Bw5duyYyMnJcekaH3zwgd3Qt5p06dIlkZOTI/Ly8pR97niWjsTGxopx48aJpUuXiq1bt4q3335btGjRQsTExIjc3Fzp2Pfff18AEBMnThSbN28Wb731loiIiBDJycnScWPGjBGDBg0SCxcuFFu3bhUffPCB6Nevn7BarWLTpk1VpmnNmjXCYrGIW265RXz66adi2bJlokOHDqJx48bi0KFDTs976qmnRGxsrNPhd+R5zDdqDvON+pFvsPBRxzKR6qhtmYgjnspEKlcMVav87F988UVlX1lZmYiJiRFDhw6Vjl26dKkAINatW6cbZ0FBgYiKihKDBw+uMk0dOnQQXbt2VVb4FUKII0eOCH9/f2kFTLWvv/5a+Pv7K59lbchEGiLmG7UL8426l2806MJH5SQ42pd60pa1a9eKfv36iaCgIBEaGiqGDBkiTQxU+cevfVX+oa5YsUIkJyeL6OhoERgYKBISEsQzzzxjNyGW0UzE0XGVE/F89tlnokePHiIwMFB06NBBvPfee8oxlZPaaF/qzDMzM1Ncf/31IiwsTAQFBYkBAwaIjRs3Orz+Dz/8IO666y4RHh4umjVrJiZMmCDOnTsnHbty5Upx9dVXi/DwcBEUFCTi4uLEhAkTlHDtBF56z/KBBx4QjRs3FoWFhXbPZNCgQaJTp05VPjutiooK4evrK/7v//5P2ffll186XKa6pKREhIaG2k1O5sigQYNE+/btdY/5/fffBQDxzDPP2IX17NlTBAcHS8tnC3F5gqWrrrpKPPnkk7oTD5FnMd9gvsF8o/oadJ+Pnj17YtGiRQCA5557Djk5OcjJycHEiRMBAMuWLcPNN9+M8PBwLF++HO+99x7Onj2LpKQkZQn2iRMn4vHHHwdweX2Wyjh69uwJADh48CBGjBiB9957D59//jmmTp2KlStXYtSoUW69lz179uCpp57Ck08+ibVr16Jr16548MEHsW3bNgCXpztPTU0FALz55ptKOkeOHAng8oJNQ4cORXh4OJYsWYKVK1ciMjISw4YNw6ZNm+yud9ttt6F9+/ZYtWoVnn32WSxbtgxPPvmkEp6Tk4M777wTbdu2xYoVK/Dpp59i1qxZduu1qOk9yylTpuDs2bNYtmyZdM7+/fuxZcsWPProo6afWVZWFsrLy5VVcQHghx9+AGBbrrqSn58fEhISlHBnzp8/j2+//VaK05GSkhIAsJtuvnLfxYsX8fPPP0v7X3jhBRQWFuLFF1/UjZs8i/kG8w3mG25Q06Wfmuas+rS8vFzExsaKLl26iPLycmV/QUGBaNasmRgwYICyz2iVX0VFhSgtLRVZWVkCgNizZ48SVt1fMIGBgeLo0aPKvqKiIhEZGSkmTZqk7HNWfVpYWCgiIyPFqFGj7J5Bt27dxNVXX213/fnz50vHTp48WQQGBipVga+++qoAYPerRs3R1OV6zzIxMVF0795d2vfII4+I8PBwUVBQ4PQ6juTn54uOHTuKli1bSue+9NJLAoA4efKk3TlDhw6t8pfJuHHjhNVqFd98843uceXl5SIyMtKumvXs2bMiLCxMAJB+KX/33XfCz89PfP7550II/SmXyfOYbzDfYL5RPQ265kPPgQMHcOLECdx7773SIkShoaG47bbbsH37dly8eLHKeH755ReMHTsW0dHR8PX1hZ+fHxITEwEAP/74o9vS2717d7Rq1Up5HxgYiPbt2+Po0aNVnpudnY0//vgD48ePR1lZmfKqqKjADTfcgJ07d6KwsFA656abbpLed+3aFZcuXUJeXh4AoE+fPgCAO+64AytXrsRvv/1W3VvElClTsHv3bnz11VcAgPz8fPzrX//C+PHjERoaajieS5cuYfTo0Th69Cg++OADh+c6GxmgN2Lg+eefx9KlS/HXv/4VvXr10k2Dj48PHn30UWzatAkvvvgi8vLycOjQIdxzzz3K96rye1dWVoYHHngAd955J4YNG2b0NqkGMN9gvuEI8w17LHw4cebMGQBATEyMXVhsbCwqKipw9uxZ3TguXLiAa6+9Fl9//TXmzp2LrVu3YufOnVi9ejUA9y5N3aRJE7t9Rpdorly6e8yYMfDz85Ne8+bNgxACf/zxh+71tMttX3fddVizZg3Kyspw3333oUWLFujcuTOWL1/u0v0BwM0334w2bdrgzTffBHB5/YrCwkJTVafFxcW49dZb8eWXX+Ljjz9G3759Hd5X5eev9scffyAyMtJhvHPmzMHcuXPx0ksv4bHHHjOUllmzZuHJJ5/E3LlzERUVhfj4eADAhAkTAADNmzcHAKSnp+OXX37B7Nmzce7cOZw7dw75+fkALmeI586dc7jiKXkf8w3mG1rMNxxj4cOJyi+To/HcJ06cgI+PDxo3bqwbx+bNm3HixAn84x//wMSJE3Hdddehd+/eCAsL80iaXdW0aVMAwOuvv46dO3c6fEVFRZmO9+abb8amTZtw/vx5bN26FS1atMDYsWORk5PjUjorS/0ffvghTp48iYULF2Lw4MHo0KGDofOLi4txyy23YMuWLVizZg0GDx5sd0yXLl0AAHv37pX2l5WV4b///S86d+5sd86cOXOQkpKClJQU/PnPfzZ8P1arFQsWLMCZM2fw/fff48SJE/jPf/6DX3/9FXFxccr6Ez/88APOnz+P+Ph4NG7cGI0bN0a3bt0AXP7V1LhxY7v0Us1gvsF8Q435hnMNvvChLXlX6tChA5o3b45ly5ZBqGagLywsxKpVq9C/f38EBwfrxlFZ1abtHPT222+79yYMcpbOgQMHolGjRti/fz969+7t8OXv71+t6yYmJmLevHkAgO+++850GitNnDgR/v7+GDduHA4cOGD410LlL5fNmzdj1apVTqsh+/bti5iYGGkCIwD48MMPceHCBbuF7l588UWkpKTgueeew+zZsw2lRSs0NBRdunRBTEwMvv32W2zatAlTpkxRwp999lls2bJFelX+Enz44YexZcsWtGvXzqVrk2uYbzDfUGO+YV6DX1juyiuvRFBQEJYuXYqOHTsiNDQUsbGxiI2Nxfz58zFu3DjceOONmDRpEoqLi/HKK6/g3LlzePnll5U4Kku9r732GsaPHw8/Pz906NABAwYMQOPGjfHwww9j9uzZ8PPzw9KlS7Fnz54audfK0vc777yDsLAwBAYGIi4uDk2aNMHrr7+O8ePH448//sCYMWPQrFkznD59Gnv27MHp06eRkZFh6lqzZs3C8ePHMXjwYLRo0QLnzp3Da6+9JrVdO+LsWVb+6mvUqBHuu+8+ZGRkoHXr1oZ7/48ZMwafffYZZs6ciSZNmmD79u1KWHh4ODp16gQA8PX1xfz583Hvvfdi0qRJuPvuu3Hw4EFMnz4dycnJuOGGG5Tz/vKXv2DWrFm44YYbMHLkSClOAOjXr5+y/eCDD2LJkiX4+eef0bp1awBQqtO7du0KIQR27NiBefPm4YYbbpAyx4SEBCQkJEhxV842eeWVVyIpKcnQMyD3Yb7BfIP5RjXVZG/X2mL58uUiISFB+Pn52Y3XX7Nmjejbt68IDAwUISEhYvDgweKrr76yi2PGjBkiNjZW+Pj4SD3Ds7OzRf/+/UVwcLC44oorxMSJE8W3335r11vbHeP1tRITE0ViYqK0Lz09XcTFxQlfX1+7NGRlZYmRI0eKyMhI4efnJ5o3by5GjhwpPvjgA7vrnz59Woq3cj6Ayt7m//nPf8Tw4cNF8+bNhb+/v2jWrJkYMWKE+OKLL5RzHPVaF8L5s6y0detWAUC8/PLLVTwtGziYB6DypX1GQgixbNky0bVrV+Hv7y+io6PFE088YdczPjExUTdetfHjx9v1xv/qq69E3759RXh4uAgICBCdO3cWr776qigpKanyfmpTr/WGivnGZcw3bJhvGMdVbanOeeqpp5CRkYFjx4457DBHRKTFfKN2afDNLlR3bN++HT/99BMWLlyISZMmMQMhoiox36idWPNBdYbFYkFwcDBGjBiBRYsWmRqjT0QNE/ON2omFDyIiIvKqBj/UloiIiLyLhQ8iIiLyKo8VPhYuXIi4uDgEBgaiV69e+OKLLzx1KSKqJ5hvEDUMHhnt8u9//xtTp07FwoULMXDgQLz99tsYPnw49u/fLy1i5EhFRQVOnDiBsLAw3cV4iMhzhBAoKChAbGystECaJ1Un3wCYdxDVNFP5hicmD7n66qvFww8/LO1LSEgQzz77bJXnHjt2THcCFr744st7r2PHjnkii3CoOvmGEMw7+OKrtryM5Btur/koKSnBrl278Oyzz0r7hw4diuzsbLvji4uLUVxcrLwX/xt8cw1GwAo/dyePiAwoQym+xDqvLWZmNt8A6kDeoa198cTAQh9f+X2FapVSV6+vPc+i8wu2ooZXU1anVXt/emGuxF+deMxcQ4+nB6fq3a+BZ2Em33B74eP3339HeXm53WqGUVFRyM3NtTs+LS0Nc+bMcZAwP1gttSADIWqI/peveKv5wmy+AdSBvMPu2XniPy5N4UNdUHD1+mYKH3ph3iClVafw4eqz98pnaOZvzMuFD+gUPhylxUS+4bFvjvbiQgiHCZoxYwbOnz+vvI4dO+apJBFRLWc03wDM5x0WP3/p5aYEyy858fJLfZyPr/SyWK3Ky9T1KsrllyfSLSpsLzPXU9+jXpj2ZYY6nXb36GN7VecarjBzPbvnrfNS0/sM9cLMpMVomAvcXvPRtGlT+Pr62v1aycvLs/tVA1xeClm7dDQRNSxm8w2AeQdRXeb2mg9/f3/06tULmZmZ0v7MzEwMGDDA3ZcjonqA+QZRw+KRobbTpk3Dvffei969e6N///5455138Ouvv+Lhhx/2xOWIqB7wSL4hdTqsqH4itcx0clS/F3KTheGkmanu1vbHUF/TTDyudlTVa5bR6xirF6/dPakenDad7ugM664OnkY7xrorPXqfvd2xOtdXx6P3JXXhOXmk8HHnnXfizJkzeOGFF3Dy5El07twZ69atQ+vWrT1xOSKqB5hvEDUctW5hufz8fERERCAJN9eOHutEDVCZKMVWrMX58+cRHh5e08kxxGHeofpVZ/GVO/6JsjL3J8IdwzvdRW8Yrie4a2ivXs2AmZqPmqR99nrpdLXmQ++5mfns3VjzYSbf4NouRERE5FUeaXYhIqoVVL8GRYXOL2O9X3/umrzKYC2Mdritbg2N3i9cV3/tuni/dvdUbrCPian+Jyb67RjsZ2Eq3Ub7bpioZdJeH6r3QjWJnh0Xv3u68ZjptyN99yo/F4vhqUhY80FERERexcIHEREReRWbXYioYdCrQtarwtabblw7hNFg84JeU4qpjrDaezLaJKQX5uJ6MS43D1XF1Y6kbvgsXE2LdgZdUVriPMpyzbPQvneFtnlKr2nF2XFVcfQZmjifNR9ERETkVSx8EBERkVex8EFERERexT4fRERmJshydbIuvdVNjcZZ5YRc6t+TOu3+ZoboumPiNDNDZM1M0KXH6ORZZoYkG+1Hou3jYXTa/epc39X+PjU0iRtrPoiIiMirWPggIiIir2KzCxE1DHpV2DpVyrlT+kvvfVQjMwPOVjgNC/v3djkiT6ytYmZGSr3j1E0dds0uOkOLjdI839IhvWxBvvI9WC/J1yj3s13fb+Mul68phxm7D4tVXl9MlJU6j98T6/qYiOf0w/2U7YBz8nmBf9i+mBej5Htq9M8c1fVc/HyVe+cMp0RERFRLsfBBREREXsXCBxEREXkV+3wQUcPg4pBGn1I5yFpkCysNlc8LOqPqA2JmmKQeoyupAvp9N9Rh2qGven1FDPYjMbcary3dwke+hwpfnd/EulPdVzgPc3H4sN606PYHu2nlXhf7jgTn2e7fp0w+ryzY9tmH5Gq+0Hr0vk9qlenk9OpERERUW7HwQURERF7FZhciIh3+BXJVsvWS7X1xhNwMUNBCVb3trgToDHW1+MqzgRpeodXNs1UCgKgwPvTUp8TWRFARJN/Dpaaa4a2q25dDoD8Dp96wUQ/cv8tDbfVmYtXSaTqrsNriudhMrleo8LOFNTpoYrZZMzPTmsSaDyIiIvIqFj6IiIjIq1j4ICIiIq9inw8iqlcsVisslstZmyhXtfu7uNKnpVwOu3iFj9MwH/XITLsVQg2unmrXd8F5u7tdHw+9eDwxvbuL8RfG+ivbob9ekgM1j82n1Ng0+HbcMd25i6vamkqLmbSpn7HdsGPbpnrYLQBYi2zvi66Q/9sPcJZObdrcNXT8f1jzQURERF5luvCxbds2jBo1CrGxsbBYLFizZo0ULoRASkoKYmNjERQUhKSkJOzbt89d6SWiOoj5BhGpmW52KSwsRLdu3TBhwgTcdtttduHz58/HggULsHjxYrRv3x5z585FcnIyDhw4gLCwMLckmojqFm/mG6JCQFgMzLhosCo8YtnXOhfzQnW+uvmmqlGZRmcj9fOX3kvNU55ungEQvky14q/mWQRojtV9NnozcKrP8/HVhOkM0dW7ttGmHDc3UTiNVyVsxXanYWp2z1fNzP1Ws1nLdOFj+PDhGD58uMMwIQTS09Mxc+ZMjB49GgCwZMkSREVFYdmyZZg0aZLpBBJR3cd8g4jU3Nrn4/Dhw8jNzcXQoUOVfQEBAUhMTER2drbDc4qLi5Gfny+9iKjhcCXfAJh3ENVlbi185ObmAgCioqKk/VFRUUqYVlpaGiIiIpRXy5Yt3ZkkIqrlXMk3AOYdRHWZR0a7WDTtUkIIu32VZsyYgfPnzyuvY8eOeSJJRFTLmck3AJ28o6Lc9qqLLBb5pb6fql4G4xVlpdLL4mNRXi7z8ZVfRgmh/9LGq36p71373JwdV53vhTpdZu7JWbrMPCcz19ewWK3Ky+XraZ+vdAEn+3W4dZ6P6OhoAJd/ycTExCj78/Ly7H7VVAoICEBAgG4XGCKqx1zJNwDmHUR1mVtrPuLi4hAdHY3MzExlX0lJCbKysjBgwAB3XoqI6gnmG0QNj+majwsXLuDQoUPK+8OHD2P37t2IjIxEq1atMHXqVKSmpiI+Ph7x8fFITU1FcHAwxo4d69aEE1HdUWP5hs4qoHpV1z6Bgcp2xaVLTo9zeUil5jj10FdRWiIfqzec1AydtElDbV2O38UVUKuoqrf42f6bEsXFzs/VW9XWXUNf1fFoZ7DVm31UfT29mW4dnes0HuP34PLna/a7ZyJNpgsf33zzDQYNGqS8nzZtGgBg/PjxWLx4MaZPn46ioiJMnjwZZ8+eRd++fbFhwwbO8UHUgDHfICI1ixDumv3EPfLz8xEREYEk3Ayrxa+mk0PUIJWJUmzFWpw/fx7h4eE1nRxDHOYdtbXmQxuNN2o+dBPg5XVQ9M7TBvurno2Zmg93pE0vHldrPsxcQ8sd6TYTh8nvnpl8g2u7EBERkVdxVVsiqr9crCnQre1QM/Er0qIamaP9Ba/bJq/3i1qPmV+4rk5h7uL11EM+7Vbm1Uarre1w5ZqeqHnQ67tRnQYF3WnhDX6fzXxP3HqeBTB466z5ICIiIq9i4YOIiIi8is0uRFRvmaned+0CxjsH6jYfGG1acbWzoPYaWnodEo02Xel1stTOXmtm6KcnOksaXNHYcPyA/lBjvaYUvbTp0M5WKj1TtzUzGRw+XXk9E9dlzQcRERF5FQsfRERE5FUsfBAREZFXsc8HEdVbbunnoddGr23j1ms/V4VZrPIEilJ7vYt9AOyYme7c03NNumvoqZaLfVUsvrbP1O47YrSPiZl+JOqwqvrQSOdqPkNVPK5+t9UT6AEmhpW7GWs+iIiIyKtY+CAiIiKvYrMLEZGW0WpyF5tE7NZvkdYMMbEuiJtmstRthjAajxeWCVOvgQM4eI4GSfforiHJ6rVetDORuvpsPLDOjqm1ivTSUs3PnjUfRERE5FUsfBAREZFXsfBBREREXsU+H0RErvaBMDPUVq9dXGcqcl06capX0QU007tb5N+dutOdu2MqcjP9WHT6YOj2ldHGaXR6dXdNva43Rb76eWuvpzdNu5l+FkZXH3bX0HFHU8aLCrvRwU6TYewwIiIiIvdg4YOIiIi8ioUPIiIi8ir2+SAi0rR1S/089Por6LXXuzpfR3Xmy1BPv63u46FV1RTfau6Yv8NMHGbS5mo8Rvvf6DHVv0enI4SZ6fTNTPfuTZXfexNT+rPmg4iIiLyKhQ8iIiLyKja7EFH9YrEYG65qtHq9OiuUOjlPPZQX0Ax11TblqJlYEdXUVOSeniZdb3hnDUwnb/h6Zoal6tEbSm1mOK/eyshlpcbiMDO02KDK77NFVAAGZ+dnzQcRERF5lanCR1paGvr06YOwsDA0a9YMt9xyCw4cOCAdI4RASkoKYmNjERQUhKSkJOzbt8+tiSaiuoV5BxGpmSp8ZGVl4dFHH8X27duRmZmJsrIyDB06FIWFhcox8+fPx4IFC/DGG29g586diI6ORnJyMgoKCtyeeCKqG5h3EJGaRQjXG/hOnz6NZs2aISsrC9dddx2EEIiNjcXUqVPxzDPPAACKi4sRFRWFefPmYdKkSVXGmZ+fj4iICCThZlgtflUeT0TuVyZKsRVrcf78eYSHh7s9/lqRd7hjqmoX47T4yO3+Up8PNy9d7jAePWb6XHiif4geLy75XmOMfvf0PgszYXpTv5tkJt+oVp+P8+fPAwAiIyMBAIcPH0Zubi6GDh2qHBMQEIDExERkZ2c7jKO4uBj5+fnSi4jqN+YdRA2by4UPIQSmTZuGa665Bp07dwYA5ObmAgCioqKkY6OiopQwrbS0NERERCivli1bupokIqoDmHcQkctDbR977DF8//33+PLLL+3CLJpqHSGE3b5KM2bMwLRp05T3+fn5zETqCtVn6hMUJAfFyZ9hfkIjZbskVC7zWlST4kX8fFEK8937i+04X81KnKW2MV0Vqr4DVLvVibzD1epng0McdSeC1Gta8FSzh7rqXbg4M6huujW/c82suqq3yque2tTUon42VT0Lo6vjmphNVGI3tNfFFY3VXFjV1qXCx+OPP46PP/4Y27ZtQ4sWLZT90dHRAC7/iomJiVH25+Xl2f2iqRQQEIAAzdLPRFQ/Me8gIsBks4sQAo899hhWr16NzZs3Iy4uTgqPi4tDdHQ0MjMzlX0lJSXIysrCgAED3JNiIqpzmHcQkZqpmo9HH30Uy5Ytw9q1axEWFqa0xUZERCAoKAgWiwVTp05Famoq4uPjER8fj9TUVAQHB2Ps2LEeuQEiqv2YdxCRmqnCR0ZGBgAgKSlJ2r9o0SLcf//9AIDp06ejqKgIkydPxtmzZ9G3b19s2LABYWFhbkkweZm6X4emitsn6gpl+0KXGCns2FC5rTJl6Cple0zoCSns9wrbtM/Xf/mYFNbi/QRl+1Kk3BbsV2hrgwzduF8Kq7hwwfamNrX9NlD1Nu9w17These5a8iozrkWf9t/BaLYxem3ddNmon+Cu4Y2u8po3xVtnwuj169qFVu9oa/u6J9h5nupnq7fKhcXpJWfK9Oplz4NU4UPI1OCWCwWpKSkICUlxUzURFSPMe8gIjWu7UJERERexVVtSZdPaKiyXdGxjRR2ZLitOvzJu9ZIYRPCj0nv/Szq6ml5tc3ycluzy7Vtf5bCDk9tomx/1nGZFPZ1cWNle96j90phgV/+aEs3h+E2LOpVbXWrsN1QTa833LGmm/v0moQ0RIlqxVtXV5nVay4yc56ZY119xq7O9mqiWUE3HoPX0G3qMHMNV5unVOdJs/A6Pc4CGIyeNR9ERETkVSx8EBERkVex8EFERERexT4fJNO0hZZ3bqtsH3xQXin062GvKNuNfQKlMLmPh6xYlErvXz6VrGxv/a6jFBYSZeuv0dg3WAobFGQbTvtb+n+ksH8/MEzZtmz/Xk5ATbfFk0dZ/P1h+d+qtqK42PmBrq5cq+auYbF6aXH1+2rmnnRXPTWxkqzRMDM88ffqjjhdfS4m2PXxUF3T4uurf6xbEmCyH4mJ+2bNBxEREXkVCx9ERETkVWx2IUnJ0F7S+98m2IbgfdT3TSmsmW+I03jOVxRJ75P33KdsV3zUVAprdMhWNe4/RK5KnDVYbk5R81GVnf0scpXjma62Jprow82ksLLcU07jpLpPlJRAWP5X/atbNe7iqqCemElSr4nEDcMkTZ3riWYOM7N4uusaRlZhBey+B+rmDFGhiUP3czK4MnAV1MNr9ZpSTDWzGPyeWqxy07ooLdEe7ThODrUlIiKi2o6FDyIiIvIqFj6IiIjIq9jng+Db2DZNeW5feerzKV3XK9vdNavaqp0suyC9H7h5ivS+1UpbOTf46wNSWMUF23DagF5yn5Nwn0tOr6kezpsUfEQKe101mleUykN7qZ4TAoYbnp1xceir1F/ATUMf1e3wum3wpiJ1sT+Iu4bdVqNPhEvX19Kbat7o5+bqPVXx7NXXNzW9ustTxtveizJNXml0ODqH2hIREVFtx8IHEREReRWbXQjlHVoq25au+VLYzaE/qt6FSmH7SmzDaW/JfkwKu/I9efiadZctnvKLF+Wwtm2U7aJmcrVdsI/zGSrLVUPk9pc0kcJCf7NVH1bky01CRFVycfin3dBMNb0qbJ3htHpNLXbV8urra6+hM7zUMG21uhRnDQyZ1YvGz9aEbNecYDBOU80eHuC24bQquvdkF4fO98TVIeD/w5oPIiIi8ioWPoiIiMirWPggIiIir2KfjwbIJyxMen90sK0vx4SE9VJYC6stTDucdt7JEcp2q7/L06L75uyR3leo2hV9O7WXwn4daZtuvduAn6SwBL9C1Tt5Ovf8Ctsw3Ec2T5LCOv78u7Jd7q7hiURa2v4J6n4WPr7Ow7Rc7Ndgauilup+HXt8Nu4vonOeuqdGl65lYKdjFvjK6fAwOl9brm6IXVsOranuiH4nyzESFbjcR6RTjqSAiIiKqPhY+iIiIyKvY7NJQqKoByzu3lYKikn5Ttu8Jl5tL1MNr95Y0lkK+2JOgbHf4Sj5PW7Xn2/5KZfuXO+VVbYeM2KVsT4/aJIU187Vd/0KFPNvpBxfaKdvxS+ShdOL4SVADZbHYvu96VeHuWFnVHSvVmonTDL0mCr3mIldpm270hvO6+uzNNGXpDW3WCzOaHlc/JzP34Co3DVfWJTUllcv/GsCaDyIiIvIqFj6IiIjIq0wVPjIyMtC1a1eEh4cjPDwc/fv3x2effaaECyGQkpKC2NhYBAUFISkpCfv27XN7oomobmHeQURqpvp8tGjRAi+//DLatbvc1r5kyRLcfPPN+O6773DVVVdh/vz5WLBgARYvXoz27dtj7ty5SE5OxoEDBxCmGd5J3qVeGfN82yAprJn/KWX7kl4TtrasqmrS9W3cSAoSYfKw2J/va6ZsT79ttRR2f/gJWzwWeQr338ttQ22X53eSwtIzhyvbHQ79IoWVFzuflp28r8byDjdMKX5p1NXS+7JAW3u6VfMHUxpi+xsJW7HdeaQuTlNenem+pdVxy+VrXLi9j7Jd1ETuL1Bhtb33LZHT3fTtHNWBJvouqO9Rry+ONl4zU7irzisbLK+Wfb6tber18KOaqddVU9T7bdwFl+iu8Ovi1PaA7tDiC3f0U7YvNZKfqX+B7djyADms8eIcGOLmfkqmaj5GjRqFESNGoH379mjfvj1eeuklhIaGYvv27RBCID09HTNnzsTo0aPRuXNnLFmyBBcvXsSyZcucxllcXIz8/HzpRUT1C/MOIlJzuc9HeXk5VqxYgcLCQvTv3x+HDx9Gbm4uhg4dqhwTEBCAxMREZGdnO40nLS0NERERyqtly5ZOjyWiuo95BxGZHmq7d+9e9O/fH5cuXUJoaCg++ugjdOrUSckkoqKipOOjoqJw9OhRp/HNmDED06ZNU97n5+czE/EA9Wx/jT/6Xgrb372bsv11tPzs4/zOKtuDg+TVaNMGf6Bszz16txR2qWuR9H7ZgL8p2738nc+meLZcvsYrvw9Utj9fMkAKa//Wt8p2+SV5GC7VPl7LO4QA8L9qYL3q/QqdMBWfErmaXATbss3SYG31tovDJg02Wdg1s5gYtik1tWiOCzxja3qwVMj/LVgv2u6/wt/5c3K5SUhbZe+BZifhq2lq+MmWX1T4yr/BywNc/E1ezVVeq4wTkJukNM+p3NaqBr+LmtleVaf5lLqYNr2h2y4wXfjo0KEDdu/ejXPnzmHVqlUYP348srKyVOmREySEsNunFhAQgICAALPJIKI6hnkHEVUyXcTz9/dHu3bt0Lt3b6SlpaFbt2547bXXEB0dDQDIzc2Vjs/Ly7P7RUNEDQ/zDiKqVO15PoQQKC4uRlxcHKKjo5GZmamElZSUICsrCwMGDNCJgYgaIuYdRA2XqWaXP//5zxg+fDhatmyJgoICrFixAlu3bsXnn38Oi8WCqVOnIjU1FfHx8YiPj0dqaiqCg4MxduxYT6WfXFBxUe5X0Xybre1w2dV9pbC7wj5Xtv0scvvybaG2lWMTH50vhQVr2qJDLbbqcV/NULrdqmGxzx29TQo7vjpO2Y5951sprIL9POoMr+YdzqZX16NzXNEVcjbpq7NYan5L27FXOEqXC9fX7UtgZnirzrGF0bYOAxbNSNCyxra/Ze1QW3Xa9PpfWDTNY8LVofDaYbhO0qIVkCfneaWNApXtS039pDCLaqitXaOe3rTsrtLrt2OiP0xJuO3+/fPl83xVo4mLw6vXV8NdTBU+Tp06hXvvvRcnT55EREQEunbtis8//xzJyckAgOnTp6OoqAiTJ0/G2bNn0bdvX2zYsIFzfBA1cMw7iEjNVOHjvffe0w23WCxISUlBSkpKddJERPUM8w4iUuPaLkRERORVpofaUv0T+t1vyvaxlW2lsLFjBynby+K2SGHqPiAxVnladDOe+OkuZbt0iTy6IXbTIWWbc3mQIep5Puz2G6TqPxB6XO7kcamJrY+Adl4P32Kd33Pq6+v0T7Cby0I9P0dV83oYnGtCe43SENt5YcfkvhvqPi9Ce3t696QOKzeRTp141PMVVUl1nqVYnkLd95LtnnzKNH0+yvXWmNDp52Hwedv1jTEzZbwUqfyc1H111FPiA9p5Ply7nO7n6wLWfBAREZFXsfBBREREXsVmF0J5rm1V25jNwVJYTtd2tjeaZhd3iQy0DYM7pQkrP33GI9ck0h36qhrS6btVHuIdAuf8jE45rdPUoDtleFVV9AabQbTXaPqO85VNpeGmZoYLq5qIdO/JXdX5OueV/3jQaVhwVavqSmGuDZc2s/qwYZrrSSsM6z1TV6dFd9eU8f/Dmg8iIiLyKhY+iIiIyKtY+CAiIiKvYp8PgsXfX9k+26OJFNYh/pjHr/94i43K9kN9H5LCIrdFK9tlx38DUZV8fIHKYeBGp8DWm8baTDu/q+3iUj+DCudhekNrAVistmGjdsNS3bHku5nzXH32rjLTz0EdZmIKc2n4rnZItKv9Olzt8+LqeW563rrDhw1gzQcRERF5FQsfRERE5FVsdiGU92ivbJ+5SV798e9tP1S9C5LCfi8vVLbfO9ddCtt5rrX0/pVWa5TtOD95NtTBQbZqzk7djkphF7q1ULYD2OxCRlSU6w+XrGR0+KGbhxg6VGFiFlMdujOAero638x57mgC0tKLx2hatMfqfBammhr07tdM2oxew8xxLn6+0sy7SpjF4eTCjrDmg4iIiLyKhQ8iIiLyKhY+iIiIyKvY56MB8m0SKb0/dKOtL8fT3dZKYVf528IuVMiryi7P76RsL/l3shQWnCs3/H07PVbZjvPLd5q2Po3lPh+rEuKU7ZhPnZ5GZONsqK2bV+V0yNW+DNJ5Fc6P0/LEPeitMmumX4X6PG0fnJr8XLTX0L1fE5+FHvUQXT9/Oais1OmxLvcHcbX/ix4j55mImzUfRERE5FUsfBAREZFXsdmlAcpPipfejxr6tbL9fxEnpLByVbXj5iK5uWbBF8OU7Y5vy6tGFlzbVnpfKjRD1pwI9JGrICv4DSWz1ENtPTGkU83FYZp29M5Tz3jqalOOmXPNnKdOq979Gb13OGiWUA8fdldTg9EmIQ/QHQ5drYgNzuiqpfc34sG/H9Z8EBERkVex8EFERERexcIHEREReRVb1BsIS0CAsn1u3AUpbHyTbNW7QCnsbEWRsr3g8GgpLCGjwBa/r1yOPXGt3ObYxu931Tvn/T/+WxgtvQ854YWpralhMtrWrXeelroPhKvDNM30OTAzhNTV8/Sek9G+HCb6ILg8RbyZfg5S2pwfpstEnx5pBdhy45+vxVe+hjSlu7v6Z7jaV6SaWPNBREREXlWtwkdaWhosFgumTp2q7BNCICUlBbGxsQgKCkJSUhL27dtX3XQSUT3BfIOIXG522blzJ9555x107dpV2j9//nwsWLAAixcvRvv27TF37lwkJyfjwIEDCAsLq3aCySBNlaDoZlu5NsCv2HA0TX1DlO2xLXdIYWmTblS2rY0CpLCMq9+T3nf1V1c1Om928dEsiShYN1eveD3fMFilrK4WB6pYsVS3Ot/FqnejK+xWlRZXm5LMXMPo9YzGoaVtztBrvtJrLrIbsqyibiLRxK8e6qvbBGRmtWG975OrK+dqzrP42D4Lu/OMDlF2eVZe880zLmXtFy5cwLhx4/Duu++icePGqusLpKenY+bMmRg9ejQ6d+6MJUuW4OLFi1i2bJnDuIqLi5Gfny+9iKj+cWe+ATDvIKrLXCp8PProoxg5ciSGDBki7T98+DByc3MxdOhQZV9AQAASExORnZ2tjQbA5SrYiIgI5dWyZUtXkkREtZw78w2AeQdRXWa68LFixQp8++23SEtLswvLzc0FAERFRUn7o6KilDCtGTNm4Pz588rr2LFjZpNERLWcu/MNgHkHUV1mqs/HsWPHMGXKFGzYsAGBgYFOj7No2peEEHb7KgUEBCAgIMBhGFWDpj3S9+BxZbu0XB7O6gtj7XV3hv0sve8+/E1lO8QitzG285O/WgEWWztquaaNdfJvA5Xtb5bLfQGar7NN2+7ZSY/JUzyRbwA6eYfF4riNW294p7YPhs604T7BwbagoiIpTPca6nZ4V6cJr4qr/S5cnGJbPRRUt3+CGa4ONTYzDFh1nv1w1lLt0dVPix5X71dznu7Ibm+sfmySqZqPXbt2IS8vD7169YLVaoXVakVWVhb+9re/wWq1Kr9ctL9W8vLy7H7VEFHDwHyDiLRMFT4GDx6MvXv3Yvfu3cqrd+/eGDduHHbv3o22bdsiOjoamZmZyjklJSXIysrCgAED3J54Iqr9mG8QkZapZpewsDB07txZ2hcSEoImTZoo+6dOnYrU1FTEx8cjPj4eqampCA4OxtixY92XajKt/Nw5ZfvSjwlS2N6Oscr2Vf5nncYR4RMkvb9aqvH2073+z6W2WVVnHLtZCvtpZQdlu8Vaud2+7PRp3Xip9qvRfMPVqmGdqvCKixddTIyKu2bqdJHuyrEmZu7UbUry9irCesdqj1O9d7m5qCbu1+ixnlidVu9+lTALDLbiu3969enTp6OoqAiTJ0/G2bNn0bdvX2zYsIFzfBCRU8w3iBqWahc+tm7dKr23WCxISUlBSkpKdaMmonqK+QZRw8b5I4mIiMiruKptQ6Fqn2u97pIU9LzvXcr2uz1/k8Imt9qqbA8JPiWF5VxqpGyvOtNb9/Ib93RStpt9KX/tmm+zDQMuO8q5GqiahIDhhmfpHBV3tJGb6Duhy9W06LTR6w4ndXU1Xm9Mze2uKePV9KZz98T1zKRH+50xOERbd7kAM8O8zU6fb+KzZM0HEREReRULH0RERORVbHZpgHxz9krv4/PaKNsF22OksOe63KNsPx0jD0nzP22rHgw7on/NDt/aFv2y/CQfXFZYqH8ykav0qo3V1dvapgaj1cd6ww+1VeZ61elSnHq/CU2kUyfMflZP1d+2J4aMVofBIbO6q9jqrDbsatOGqSYYve+a9vNWp8fF4bymVmWW0qaz2rKbseaDiIiIvIqFDyIiIvIqFj6IiIjIq9jnowHStgeWHzikbAertgGg1Wo3XdPJNpHbqVe11WuzdnHoq0W1kq4oLnZ+oJmhtlK/Bhf7n1RFdQ1TU4q7Y9ixliemjNdbndZM3wlXp2zXozd8V68/igc+e93Vfw1Noe6AC+lkzQcRERF5FQsfRERE5FVsdiGi+kU9w6k7hk1qqpSlpha9phW7IZUGh4xqeaLZwwy95+SO2V+rav4yeH1pZV53cdf9uvoMvXF99VBfM9/ZamLNBxEREXkVCx9ERETkVSx8EBERkVexzwcR1S/qobZqZoZXqs/Xa3fXtpGb6ctglKtt7a72F9C9Xzet/qt6brorsAImpqU3MUzU8LPQ/D7XGxZrdDXa6qzi6yxOs/FK5zlfxVg9fNnU8GwDWPNBREREXsXCBxEREXkVm12IqP5yx9BEPbor0Oqcpm1qqNBZDVc60U1V7Xq8PPRTundHjDZf6TWR6K3k6urqw1oGj62ymclZWrTX8MLnJKXN0Cq+FsNTWLPmg4iIiLyKhQ8iIiLyKhY+iIiIyKvY54OI6hf19OpqZlaZNcpMHO5YVdadxxrl6lBXKUzzO1dvGnq9eN21SrHesYZXH3axH0W5+/uR2F9Ep4+L3RTqLk6v7ijMxDNhzQcRERF5lanCR0pKCiwWi/SKjo5WwoUQSElJQWxsLIKCgpCUlIR9+/a5PdFEVLcw7yAiNdM1H1dddRVOnjypvPbu3auEzZ8/HwsWLMAbb7yBnTt3Ijo6GsnJySgoKHBroomo7mHeQUSVTPf5sFqt0i+WSkIIpKenY+bMmRg9ejQAYMmSJYiKisKyZcswadKk6qeWiOqsGsk71O3S7pru3Oj1tO3fbpgTw26OCG3/AXdMxW6X7ir6ZDgjTcuu8+yrSrPUJ8ELn6EeT8wbo+2LpPe83TGFuiYOi1U1hXqp956v6ZqPgwcPIjY2FnFxcbjrrrvwyy+/AAAOHz6M3NxcDB06VDk2ICAAiYmJyM7OdhpfcXEx8vPzpRcR1T/MO4iokqnCR9++ffHPf/4T69evx7vvvovc3FwMGDAAZ86cQW5uLgAgKipKOicqKkoJcyQtLQ0RERHKq2XLli7cBhHVZsw7iEjNVLPL8OHDle0uXbqgf//+uPLKK7FkyRL069cPAGDRDLcSQtjtU5sxYwamTZumvM/Pz2cmQlTPeDXvUK9qa7S629UmGXetpGpwCKe7Vxa1XV+nacNoVb/eUEyj1wbsmx280VzmChenMDc1vbr2XD9/23mlJYbP0/1OGY1H2zwkRWL+M6rWUNuQkBB06dIFBw8eVNpytb9U8vLy7H7RqAUEBCA8PFx6EVH9xryDqGGrVuGjuLgYP/74I2JiYhAXF4fo6GhkZmYq4SUlJcjKysKAAQOqnVAiqj+YdxA1bKaaXZ5++mmMGjUKrVq1Ql5eHubOnYv8/HyMHz8eFosFU6dORWpqKuLj4xEfH4/U1FQEBwdj7Nixnko/EdUBzDuISM1U4eP48eO4++678fvvv+OKK65Av379sH37drRu3RoAMH36dBQVFWHy5Mk4e/Ys+vbtiw0bNiAsLMwjiSeiusGreYez6dW1XJ0qXOrXobOMux53LU2vjUebHukazodbSs/C1WnoXe7jounj4eqzcJWrn4WZKcxVx1an345u/ww3TP2u+yzc3PfGIoS3P2l9+fn5iIiIQBJuhtXiV9PJIWqQykQptmItzp8/X2f6Urg17zBa+ND7j9pdnVH1uKvwoebtwodWXSl8aBksfHiMpwsfBpjJN7i2CxEREXkVV7UlItJyxy9VI6uAOgqrTlq8vVKvq8OV9WqB3MVovO6qBfLEkGAz1zf6PXFXTY/DOC2GWjwB1nwQERGRl7HwQURERF7FwgcRERF5Fft8EFG9YrFaYbFcztp0hzUa7K9w+pH+0vugM7ZG7XJ/+VifUtt22Mqv5UAPT71eJaN9TsyMUlGN6jAzbfjJNR2V7eGtf5TCjl6MlN4f/KOpst101E/O06Zl9Hnr9Q1x17T76lFI2jh1+/sYX1H49MO272lAvvwZlgXYrhFySv5cAtbtVF3PzGcv7LdNfD9Z80FERERexcIHEREReRWbXYioXhFlZRBGhlmqq7R1qpT9LmiCVIeW+8nn+ZQ5qIp2eG2d2TG11fJGJzUD9JtPzMTjjJtW3B3W6r/KdrCPPGvnd8dbSO87Rp9StosMX0HDzGdhlJFmCOW9wcnntOEmwgLP2d6fj5PrFZr8aPtsyoLksADoMN0cx6G2REREVEux8EFERERexcIHEREReRX7fBBRw+TiwmcVqlxTaH6+XWxm22FqPV6jfS6qOk49pFNvhV1Xh5CaWUhPTfOsY/zPK9snSyKksAPX/lN6/8SJPrYwg8n0CjN9RVTPxuIrP0O7vjIu9k/xKbWFqR4vAOCPBNuXNvB3OY4Qo/2N9HCoLREREdV2LHwQERGRV7HZhYjqF4vFVs3t6jBK1XnaWUytxbbt0Fy5yrw02ODvOU+sLAroN6eoqtctPvL1RbnqPL206MVv0dy7TpNM3+BDyvZLp2+Uwub4FkvvNx1tr2y3wD7NNQ0OS9VLmx69piRtnHqzkarSZmZIshnl/ra0+l2Un4V6Vt6iJibSrebm7yxrPoiIiMirWPggIiIir2Lhg4iIiLyKfT6IqH4RAg7neNYOE1W3deu0Xzd5L8fwpQOkfgYGpnh3N93p1W33azcK1x19TvT6UWjif+HKXqqwE1JYtkWe8Lulr22AralUStOdmxhabHRKcZ04dVf4rep74eJnEfHht6rrlcqBqjhNDQF314rKDrDmg4iIiLyKhQ8iIiLyKja7EFHDoLcCrBmGq+Vdm0HVjt4MlGau6a7VW6Uw1e9XM7OmqtNSxRBO3aGpevG4I20uqtZwWhebOkSpanVgbRMj1Cs4Gx8SbfQ7XDlrq0UIwOCts+aDiIiIvMp04eO3337DPffcgyZNmiA4OBjdu3fHrl27lHAhBFJSUhAbG4ugoCAkJSVh3759OjESUUPAvIOIKpkqfJw9exYDBw6En58fPvvsM+zfvx9/+ctf0KhRI+WY+fPnY8GCBXjjjTewc+dOREdHIzk5GQUFBe5OOxHVEcw7iEjNVJ+PefPmoWXLlli0aJGyr02bNsq2EALp6emYOXMmRo8eDQBYsmQJoqKisGzZMkyaNMk9qSaiOsWreYez6dVdbM+2oxenJ+hNf613T2bu1+jKpjqr2lr85HnodfsgVBiczt0Mu6HFLq7c68HhpQ554hq6w55dfC5aqr4jlX1chDDe18VUzcfHH3+M3r174/bbb0ezZs3Qo0cPvPvuu0r44cOHkZubi6FDhyr7AgICkJiYiOzsbIdxFhcXIz8/X3oRUf3CvIOI1EwVPn755RdkZGQgPj4e69evx8MPP4wnnngC//znPwEAubm5AICoqCjpvKioKCVMKy0tDREREcqrZcuWrtwHEdVizDuISM1Us0tFRQV69+6N1NRUAECPHj2wb98+ZGRk4L777lOOs2iq+4QQdvsqzZgxA9OmTVPe5+fnMxMhqme8mneoZzh1tQpddaxuc4IbVs21Y6YpR28lV6PNLIDxoag6w5Wl52LiPDueaIYw0wTljiHJnojfXdfXY+K8yuG1ACDMDGX+H1M1HzExMejUqZO0r2PHjvj1118BANHR0QBg90slLy/P7hdNpYCAAISHh0svIqpfmHcQkZqpwsfAgQNx4MABad9PP/2E1q1bAwDi4uIQHR2NzMxMJbykpARZWVkYMGCAG5JLRHUR8w4iUjPV7PLkk09iwIABSE1NxR133IEdO3bgnXfewTvvvAPgcpXp1KlTkZqaivj4eMTHxyM1NRXBwcEYO3asR26AiGo/5h1EpGaq8NGnTx989NFHmDFjBl544QXExcUhPT0d48aNU46ZPn06ioqKMHnyZJw9exZ9+/bFhg0bEBZmai09IqpH6nLeoduXwV1DXY0eV1Wchq+hM3zXDFfv1139HlztZ+Fq/wjdVYMNfm4e6/OhbsiQP1+pf0a5zlBqLZ0h2HYr55pkEcIbA5mNy8/PR0REBJJwM6wWv5pODlGDVCZKsRVrcf78+TrTl8Jh3uHpTN8ThQ9Xr1cT8Xg6TjPXdFchojadZ4a6oCA8X/hwdE9m8g2u7UJERERexVVtiahesVitsFguZ212v/LcTfurUfVL0eKjGTZsdKVTM7OBmql5cXacGXarpaq4MNzS0DVUv+LVv+ABzTM18yzUTRTax6S+D1eHJGt5oxZIZ3Val1fZ1Z0ptXr3xJoPIiIi8ioWPoiIiMiral2zS2X/1zKUKpMUEpF3leFyT/Za1h9dl1B1erPt88ACZrqJUDURCO1srQarvrUjUXQXAtPr5OmBZhe9UTLuWrDM7v7Vz1QOk5+pmWeh87tb+s6Y+Sxqkxro/Atz+UatK3xULp/9JdbVcEqIqKCgABERETWdDEMq844vyj+uuURUONl2NY6q6OXxnvj/xk0jdF2+hl75zcyzMPpsvHG/nlDDvxmM5Bu1bqhtRUUFTpw4ASEEWrVqhWPHjtWZoX7eUrmGBZ+NjM/FObPPRgiBgoICxMbGwsenbrTOMu/Qx78P5/hsHPNkvlHraj58fHzQokULZXlsrtngHJ+NY3wuzpl5NnWlxqMS8w5j+Fyc47NxzBP5Rt34SUNERET1BgsfRERE5FW1tvAREBCA2bNnIyAgoKaTUuvw2TjG5+JcQ3o2DelezeBzcY7PxjFPPpda1+GUiIiI6rdaW/NBRERE9RMLH0RERORVLHwQERGRV7HwQURERF7FwgcRERF5Va0tfCxcuBBxcXEIDAxEr1698MUXX9R0krwqLS0Nffr0QVhYGJo1a4ZbbrkFBw4ckI4RQiAlJQWxsbEICgpCUlIS9u3bV0MprhlpaWmwWCyYOnWqsq8hP5fffvsN99xzD5o0aYLg4GB0794du3btUsLr+7NhvsF8wyjmHTY1km+IWmjFihXCz89PvPvuu2L//v1iypQpIiQkRBw9erSmk+Y1w4YNE4sWLRI//PCD2L17txg5cqRo1aqVuHDhgnLMyy+/LMLCwsSqVavE3r17xZ133iliYmJEfn5+Dabce3bs2CHatGkjunbtKqZMmaLsb6jP5Y8//hCtW7cW999/v/j666/F4cOHxcaNG8WhQ4eUY+rzs2G+wXzDKOYdNjWVb9TKwsfVV18tHn74YWlfQkKCePbZZ2soRTUvLy9PABBZWVlCCCEqKipEdHS0ePnll5VjLl26JCIiIsRbb71VU8n0moKCAhEfHy8yMzNFYmKikoE05OfyzDPPiGuuucZpeH1/Nsw37DHfsMe8Q1ZT+Uata3YpKSnBrl27MHToUGn/0KFDkZ2dXUOpqnnnz58HAERGRgIADh8+jNzcXOk5BQQEIDExsUE8p0cffRQjR47EkCFDpP0N+bl8/PHH6N27N26//XY0a9YMPXr0wLvvvquE1+dnw3zDMeYb9ph3yGoq36h1hY/ff/8d5eXliIqKkvZHRUUhNze3hlJVs4QQmDZtGq655hp07twZAJRn0RCf04oVK/Dtt98iLS3NLqwhP5dffvkFGRkZiI+Px/r16/Hwww/jiSeewD//+U8A9fvZMN+wx3zDHvMOezWVb1hdT7JnWSwW6b0Qwm5fQ/HYY4/h+++/x5dffmkX1tCe07FjxzBlyhRs2LABgYGBTo9raM8FACoqKtC7d2+kpqYCAHr06IF9+/YhIyMD9913n3JcfX429fnezGK+IWPe4VhN5Ru1ruajadOm8PX1tStR5eXl2ZW8GoLHH38cH3/8MbZs2YIWLVoo+6OjowGgwT2nXbt2IS8vD7169YLVaoXVakVWVhb+9re/wWq1Kvfe0J4LAMTExKBTp07Svo4dO+LXX38FUL+/M8w3ZMw37DHvcKym8o1aV/jw9/dHr169kJmZKe3PzMzEgAEDaihV3ieEwGOPPYbVq1dj8+bNiIuLk8Lj4uIQHR0tPaeSkhJkZWXV6+c0ePBg7N27F7t371ZevXv3xrhx47B79260bdu2QT4XABg4cKDdsMqffvoJrVu3BlC/vzPMNy5jvuEc8w7HaizfcLmrqgdVDpl77733xP79+8XUqVNFSEiIOHLkSE0nzWseeeQRERERIbZu3SpOnjypvC5evKgc8/LLL4uIiAixevVqsXfvXnH33XfX+2Fhjqh7rAvRcJ/Ljh07hNVqFS+99JI4ePCgWLp0qQgODhbvv/++ckx9fjbMN5hvmMW8o+byjVpZ+BBCiDfffFO0bt1a+Pv7i549eypDxRoKAA5fixYtUo6pqKgQs2fPFtHR0SIgIEBcd911Yu/evTWX6BqizUAa8nP55JNPROfOnUVAQIBISEgQ77zzjhRe358N8w3mG2Yw77isJvINixBCuF5vQkRERGROrevzQURERPUbCx9ERETkVSx8EBERkVex8EFERERexcIHEREReRULH0RERORVLHwQERGRV7HwQURERF7FwgcRERF5FQsfRERE5FUsfBAREZFX/T/Y0gIylwUAkgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rand_ind = np.random.choice(range(len(val_dataset)), size=10, replace=False)\n",
    "for ind in rand_ind:\n",
    "    visualize(val_dataset[ind][0], val_dataset[ind][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "fb04216d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def confusion_matrix(predicted, labels, conf_matrix):\n",
    "    for p, t in zip(predicted, labels):\n",
    "        conf_matrix[p, t] += 1\n",
    "    return conf_matrix\n",
    "#首先定义一个 分类数*分类数 的空混淆矩阵\n",
    "conf_matrix = torch.zeros(classes_num, classes_num)\n",
    "# 使用torch.no_grad()可以显著降低测试用例的GPU占用\n",
    "with torch.no_grad(): # 停止梯度更新\n",
    "    for i, (images, labels) in enumerate(val_dataloader):\n",
    "        images = images.to(device)\n",
    "        images = torch.sqrt(torch.squeeze(images))\n",
    "        labels = labels.to(device)\n",
    "\n",
    "        out_labels, out_images = model(images)\n",
    "        _, predicted = torch.max(out_labels.data, 1)\n",
    "        \n",
    "        #记录混淆矩阵参数\n",
    "        conf_matrix = confusion_matrix(predicted, labels, conf_matrix)\n",
    "        conf_matrix = conf_matrix.cpu()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "d4cd8a19",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "混淆矩阵总元素个数：10000,测试集总个数:10000\n",
      "[[ 937.    0.   57.   26.    9.  196.   72.   13.   69.   48.]\n",
      " [   0. 1107.   85.   17.   41.   90.   25.   60.   92.   39.]\n",
      " [   2.   13.  741.   24.    3.    3.   10.   22.   15.   13.]\n",
      " [   5.    5.   35.  887.    4.  315.    2.    1.  168.   17.]\n",
      " [   0.    1.   13.    0.  791.   31.    9.    7.   11.   96.]\n",
      " [   0.    0.    0.    0.    0.   78.    0.    0.    0.    0.]\n",
      " [  29.    5.   43.   11.   57.   46.  838.    5.   29.    5.]\n",
      " [   2.    0.   36.   29.    9.   52.    0.  902.   45.  183.]\n",
      " [   5.    4.   22.    8.    5.   53.    2.    3.  529.    4.]\n",
      " [   0.    0.    0.    8.   63.   28.    0.   15.   16.  604.]]\n",
      "每种标签总个数：1427  1556  846  1439  959  78  1068  1258  635  734\n",
      "每种标签预测正确的个数：937  1107  741  887  791  78  838  902  529  604\n",
      "每种标签的识别准确率为：65.7%  71.1%  87.6%  61.6%  82.5%  100.0%  78.5%  71.7%  83.3%  82.3%"
     ]
    }
   ],
   "source": [
    "conf_matrix = np.array(conf_matrix)# 将混淆矩阵从gpu转到cpu再转到np\n",
    "corrects = conf_matrix.diagonal(offset = 0)#抽取对角线的每种分类的识别正确个数\n",
    "per_classes = conf_matrix.sum(axis = 1)#抽取每个分类数据总的测试条数\n",
    "\n",
    "print(\"混淆矩阵总元素个数：{},测试集总个数:{}\".format(int(np.sum(conf_matrix)), BATCH_SIZE*len(val_dataloader)))\n",
    "np.set_printoptions(suppress=True) \n",
    "print(conf_matrix)\n",
    "\n",
    "# 获取每种label的识别准确率\n",
    "percent = [rate*100 for rate in corrects/per_classes]\n",
    "per_classes = list(per_classes)\n",
    "corrects = list(corrects)\n",
    "\n",
    "print(\"每种标签总个数：{}\".format('  '.join(['{:.0f}'.format(i) for i in per_classes])))\n",
    "print(\"每种标签预测正确的个数：{}\".format('  '.join(['{:.0f}'.format(i) for i in corrects])))\n",
    "print(\"每种标签的识别准确率为：{}\".format('%  '.join(['{:.1f}'.format(i) for i in percent])), end='%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "46a9d760",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制混淆矩阵\n",
    "label_ticks = list()\n",
    "for i in range(classes_num):\n",
    "    label_ticks = label_ticks + ['{}'.format(classes[i])]\n",
    "\n",
    "# 显示数据\n",
    "plt.imshow(conf_matrix, cmap=plt.cm.Blues)\n",
    "thresh = conf_matrix.max() / 2\t#数值颜色阈值，如果数值超过这个，就颜色加深。\n",
    "for i in range(classes_num):\n",
    "    for j in range(classes_num):\n",
    "        info = int(conf_matrix[j, i])\n",
    "        plt.text(i, j, info,\n",
    "                 verticalalignment='center',\n",
    "                 horizontalalignment='center',\n",
    "                 color=\"white\" if info > thresh else \"black\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "85bd5d4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将模型中的phase导出来\n",
    "phase = []\n",
    "for param in model.named_parameters():\n",
    "    phase.append(param[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "0c82e980",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([64, 64])"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phase[0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "2e4d0f9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 写一个测试模型，用于查看中间层的输出图案\n",
    "class DNN_test(torch.nn.Module):\n",
    "    def __init__(self, phase=[], num_layers=5, wl = 532e-9, N_pixels = 64, pixel_size = 10*wl, \n",
    "                 distance = []):\n",
    "\n",
    "        super(DNN_test, self).__init__()\n",
    "        \n",
    "        # 定义中间的衍射层\n",
    "        self.diffractive_layers = torch.nn.ModuleList([Diffractive_Layer(wl, N_pixels, pixel_size, distance[i])\n",
    "                                                       for i in range(num_layers)])\n",
    "        # 定义最后的探测层\n",
    "        self.last_diffractive_layer = Propagation_Layer(wl, N_pixels, pixel_size, distance[-1])\n",
    "        self.sofmax = torch.nn.Softmax(dim=-1)\n",
    "    \n",
    "    # 计算多层衍射前向传播\n",
    "    def forward(self, E):\n",
    "        E_out = []\n",
    "        Int = []\n",
    "        for index, layer in enumerate(self.diffractive_layers):\n",
    "            temp = layer(E)\n",
    "            # 这里相当于加了一层sigmoid非线性激活，将相位控制在0到2pi\n",
    "#             constr_phase = 2*torch.pi*torch.sigmoid(self.phase[index])\n",
    "            constr_phase = 2*torch.pi*phase[index]\n",
    "            exp_j_phase = torch.exp(1j*constr_phase) #torch.cos(constr_phase)+1j*torch.sin(constr_phase)\n",
    "            E = temp * exp_j_phase\n",
    "            E_out.append(E)\n",
    "        E_out.append(self.last_diffractive_layer(E_out[-1]))\n",
    "        for i in range(len(E_out)):\n",
    "            Int.append(torch.abs(E_out[i])**2)\n",
    "        return Int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "45221648",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_test = DNN_test(phase = phase, num_layers = 5, wl = wl, pixel_size = pixel_size, distance = distance).to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "a08c96aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "mid_img = model_test(images_E)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "66f84499",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([200, 64, 64])"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images_E.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "cead7a6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(mid_img[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "9b954ec9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1c3a55cc8b0>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Batch里第2个样品的原图\n",
    "plt.imshow(images_E[0].cpu().detach().numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "7b6e861a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1c3a57fb460>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Batch里第2个样品在第1层的图案\n",
    "plt.imshow(mid_img[0][0].cpu().detach().numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b551ae2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "D2NN",
   "language": "python",
   "name": "pytorch"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
